Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems | Paper Citation Record

Observation 30a59c7b-1e72-4b80-acb8-43e82e0c1514 · outbound

This paper cites Heat pumps and our low-carbon future: A comprehensive review, Energy Research & Social Science 2021, 71, 101764.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Heat pumps and our low-carbon future: A comprehensive review, Energy Research & Social Science 2021, 71, 101764

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:56.357348Z

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Observation ed6cbee2-be64-4691-80f1-36de54e770a6 · outbound

This paper cites Energy flexible heat pumps in industrial energy systems: A review, Energy Reports 2023, 9, 386--394.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Energy flexible heat pumps in industrial energy systems: A review, Energy Reports 2023, 9, 386--394

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:56.234885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dbb757ed-fc74-40d7-911d-d8d6c1349a83 · outbound

This paper cites Machine Learning and Deep Learning in Energy Systems: A Review, Sustainability 2022, 14 (8).

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Machine Learning and Deep Learning in Energy Systems: A Review, Sustainability 2022, 14 (8)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:56.126830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a54cb4e0-01b8-46a5-a5ec-323f85cc3179 · outbound

This paper cites A review on renewable energy and electricity requirement forecasting models for smart grid and buildings, Sustainable Cities and Society 2020, 55, 102052.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A review on renewable energy and electricity requirement forecasting models for smart grid and buildings, Sustainable Cities and Society 2020, 55, 102052

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.988882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 68bc4b08-100a-4045-b1d9-4415ebdb2fbc · outbound

This paper cites Optimizing renewable energy systems through artificial intelligence: Review and future prospects, Energy & Environment 2024, 35 (7), 3833--3879.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Optimizing renewable energy systems through artificial intelligence: Review and future prospects, Energy & Environment 2024, 35 (7), 3833--3879

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.847659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8c4c48f-e481-410f-90c8-7f2b265675f3 · outbound

This paper cites Heating up the global heat pump market, Nature Energy 2022, 7 (10), 901--904.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Heating up the global heat pump market, Nature Energy 2022, 7 (10), 901--904

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.711067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 92818bb2-93a3-4dad-9a49-5997baf74b4e · outbound

This paper cites Estimating electric power consumption of in-situ residential heat pump systems: A data-driven approach, Applied Energy 2023, 352, 121971.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Estimating electric power consumption of in-situ residential heat pump systems: A data-driven approach, Applied Energy 2023, 352, 121971

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.547537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9ab1ebc-94af-4949-9851-e2f047e8b342 · outbound

This paper cites Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review, Renewable and Sustainable Energy Reviews 2020, 130, 109899.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review, Renewable and Sustainable Energy Reviews 2020, 130, 109899

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.407961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79fbecbc-4382-4526-8289-9f9e693a1606 · outbound

This paper cites Data-driven soft sensors targeting heat pump systems, Energy Conversion and Management 2023, 279, 116769.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Data-driven soft sensors targeting heat pump systems, Energy Conversion and Management 2023, 279, 116769

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.258826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9dcea6d-2238-4f62-bf30-fc8c2f82628f · outbound

This paper cites Recent advances in the analysis of residential electricity consumption and applications of smart meter data, Applied Energy 2017, 208, 402--427.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Recent advances in the analysis of residential electricity consumption and applications of smart meter data, Applied Energy 2017, 208, 402--427

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:55.126919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 55754119-c807-4327-b3ef-26ad9fefc58f · outbound

This paper cites DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks, Engineering Applications of Artificial Intelligence 2023, 123, 106480.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems DA-LSTM: A dynamic drift-adaptive learning framework for interval load forecasting with LSTM networks, Engineering Applications of Artificial Intelligence 2023, 123, 106480

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.989400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a4caec01-be95-4432-8c13-d5a1c7a09ff4 · outbound

This paper cites Deep Learning in Fault Detection and Diagnosis of building HVAC Systems: A Systematic Review with Meta Analysis, Energy and AI 2023, 12, 100235.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Deep Learning in Fault Detection and Diagnosis of building HVAC Systems: A Systematic Review with Meta Analysis, Energy and AI 2023, 12, 100235

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.851845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 963e6d3d-0997-44c0-a7b8-a28453f8e21a · outbound

This paper cites A systematic review of machine learning techniques related to local energy communities, Renewable and Sustainable Energy Reviews 2022, 170, 112651.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A systematic review of machine learning techniques related to local energy communities, Renewable and Sustainable Energy Reviews 2022, 170, 112651

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.686429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8aae53cb-a236-4c2f-b7a9-a9f80d4991ba · outbound

This paper cites An application of the artificial neural network to optimise the energy performances of a magnetic refrigerator, International Journal of Refrigeration 2017, 82, 238--251.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems An application of the artificial neural network to optimise the energy performances of a magnetic refrigerator, International Journal of Refrigeration 2017, 82, 238--251

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.533924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e04b52ad-d659-4623-b04f-78874868be73 · outbound

This paper cites Artificial intelligence models for refrigeration, air conditioning and heat pump systems, Energy Reports 2022, 8, 8451--8466.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Artificial intelligence models for refrigeration, air conditioning and heat pump systems, Energy Reports 2022, 8, 8451--8466

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.383771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2bb9d7ad-ef76-4338-a035-99eb89422625 · outbound

This paper cites A deep learning framework for building energy consumption forecast, Renewable and Sustainable Energy Reviews 2021, 137, 110591.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A deep learning framework for building energy consumption forecast, Renewable and Sustainable Energy Reviews 2021, 137, 110591

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.231348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ff8ad48-1412-46fc-b514-5f528ea2f88c · outbound

This paper cites A review on machine learning forecasting growth trends and their real-time applications in different energy systems, Sustainable Cities and Society 2020, 54, 102010.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A review on machine learning forecasting growth trends and their real-time applications in different energy systems, Sustainable Cities and Society 2020, 54, 102010

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:54.088619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ac070e63-4b9e-4c8e-9ca1-a3fa23e4bc53 · outbound

This paper cites Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor, Neurocomputing 2020, 380, 51--66.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor, Neurocomputing 2020, 380, 51--66

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:53.949329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 077b40a9-ae6b-4db6-80da-1b14fa24987a · outbound

This paper cites An optimized model using LSTM network for demand forecasting, Computers & Industrial Engineering 2020, 143, 106435.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems An optimized model using LSTM network for demand forecasting, Computers & Industrial Engineering 2020, 143, 106435

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:53.692937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6fdca115-22c1-4e38-ba96-2f6bb1da7266 · outbound

This paper cites Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review, Energy and Buildings 2020, 229, 110492.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Fault detection and diagnosis of large-scale HVAC systems in buildings using data-driven methods: A comprehensive review, Energy and Buildings 2020, 229, 110492

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:53.428454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cb76763b-701b-4ad0-81c3-80fe16288843 · outbound

This paper cites Large-scale heat pumps: Applications, performance, economic feasibility and industrial integration, Renewable and Sustainable Energy Reviews 2020, 133, 110219.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Large-scale heat pumps: Applications, performance, economic feasibility and industrial integration, Renewable and Sustainable Energy Reviews 2020, 133, 110219

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:53.121057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 21b99978-edcd-4945-a999-ce7a7eefb921 · outbound

This paper cites A long short-term memory artificial neural network to predict daily HVAC consumption in buildings, Energy and Buildings 2020, 216, 109952.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A long short-term memory artificial neural network to predict daily HVAC consumption in buildings, Energy and Buildings 2020, 216, 109952

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:52.869673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 812818bc-3d41-40a0-ad8d-6c0435c06151 · outbound

This paper cites Short-term electricity consumption forecast with artificial neural networks—A case study of office buildings, In 2017 IEEE Manchester PowerTech, IEEE, 2017; pp 1--6.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Short-term electricity consumption forecast with artificial neural networks—A case study of office buildings, In 2017 IEEE Manchester PowerTech, IEEE, 2017; pp 1--6

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:52.546369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7cd50e56-6054-4d0a-949c-4cba177dca33 · outbound

This paper cites Using long short-term memory networks to predict energy consumption of air-conditioning systems, Sustainable Cities and Society 2020, 55, 102000.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Using long short-term memory networks to predict energy consumption of air-conditioning systems, Sustainable Cities and Society 2020, 55, 102000

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:52.251181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d2e6585-75ef-48b1-8cf9-64c498b375ab · outbound

This paper cites A hybrid model approach for forecasting future residential electricity consumption, Energy and Buildings 2016, 117, 341--351.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A hybrid model approach for forecasting future residential electricity consumption, Energy and Buildings 2016, 117, 341--351

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:51.974877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d7aa16da-a7ad-4c8b-a6ca-8df52e055075 · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:51.792361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c78b65dd-7f9e-47c1-8616-087dcd14701e · outbound

This paper cites Short-term residential load forecasting based on LSTM recurrent neural network, IEEE transactions on smart grid 2017, 10 (1), 841--851.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Short-term residential load forecasting based on LSTM recurrent neural network, IEEE transactions on smart grid 2017, 10 (1), 841--851

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:51.590787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eeb761a6-32d8-4b06-ba62-c49d90768783 · outbound

This paper cites Building thermal load prediction through shallow machine learning and deep learning, Applied Energy 2020, 263, 114683.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Building thermal load prediction through shallow machine learning and deep learning, Applied Energy 2020, 263, 114683

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:51.404877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a7dd3393-a400-40bd-afd2-0a3ecb8020ea · outbound

This paper cites A novel energy demand prediction strategy for residential buildings based on ensemble learning, Energy Procedia 2019, 158, 3411--3416.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A novel energy demand prediction strategy for residential buildings based on ensemble learning, Energy Procedia 2019, 158, 3411--3416

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:51.190756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b582b276-4b11-482f-888f-170184105dff · outbound

This paper cites Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine, Resources Policy 2022, 79, 103109.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Oil and gold price prediction using optimized fuzzy inference system based extreme learning machine, Resources Policy 2022, 79, 103109

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:51.006739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1eb09006-34b5-455b-b08b-14d505ed8ac2 · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:50.822481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bcfb8a4b-5e04-4022-8d54-282e111c2130 · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:50.567979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 38b45090-2e34-4020-b26e-bc5a4e3acd99 · outbound

This paper cites Revolutionizing Sustainable Energy Production with Quantum Artificial Intelligence: Applications in Autonomous Robotics and Data Management, Green and Low-Carbon Economy 2023.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Revolutionizing Sustainable Energy Production with Quantum Artificial Intelligence: Applications in Autonomous Robotics and Data Management, Green and Low-Carbon Economy 2023

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:50.344641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c8797e0-e8db-4749-8ae7-d3cb58e9fdcf · outbound

This paper cites A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy, IEEE Access 2022, 10, 76622--76635.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A Semi-Supervised Modulation Identification in MIMO Systems: A Deep Learning Strategy, IEEE Access 2022, 10, 76622--76635

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:50.193518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 906c68da-6c76-44da-82e5-877705bea8b1 · outbound

This paper cites Automatic fault detection in grid-connected photovoltaic systems via variational autoencoder-based monitoring, Energy Conversion and Management 2024, 314, 118665.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Automatic fault detection in grid-connected photovoltaic systems via variational autoencoder-based monitoring, Energy Conversion and Management 2024, 314, 118665

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:50.013851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4bed40f3-f3cd-4e6c-abf2-1f43aed7bca3 · outbound

This paper cites TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection, Neural Computing & Applications 2024.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems TransNAS-TSAD: Harnessing Transformers for Multi-Objective Neural Architecture Search in Time Series Anomaly Detection, Neural Computing & Applications 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:49.761867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d044258-acdd-4e3c-a333-b97bc1e22337 · outbound

This paper cites Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data, In Information Management and Big Data.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Peak Anomaly Detection from Environmental Sensor-Generated Watershed Time Series Data, In Information Management and Big Data

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:49.577678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation db9fce45-cd67-4352-8cee-74dec5dfc00b · outbound

This paper cites General review of ground-source heat pump systems for heating and cooling of buildings, Energy and Buildings 2014, 70, 441--454.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems General review of ground-source heat pump systems for heating and cooling of buildings, Energy and Buildings 2014, 70, 441--454

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:49.354837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c224b0a1-677d-4a3d-bb84-3649b062d8f2 · outbound

This paper cites Machine learning-based performance prediction for ground source heat pump systems, Geothermics 2022, 105, 102509.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Machine learning-based performance prediction for ground source heat pump systems, Geothermics 2022, 105, 102509

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:49.133785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 96c56ac8-1898-4592-8993-e67f988848ee · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

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Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:48.953599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45beb062-f3f9-4cbe-b266-ed9c6269c40b · outbound

This paper cites RNN-LSTM: From applications to modeling techniques and beyond—Systematic review, Journal of King Saud University - Computer and Information Sciences 2024, 36 (5), 102068.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems RNN-LSTM: From applications to modeling techniques and beyond—Systematic review, Journal of King Saud University - Computer and Information Sciences 2024, 36 (5), 102068

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:48.773806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cfac3fa6-e819-4b0f-8a03-746046cd168a · outbound

This paper cites A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams, IEEE Internet of Things Magazine 2021, 4 (2), 96--101.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams, IEEE Internet of Things Magazine 2021, 4 (2), 96--101

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:48.554814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be804156-90dd-433a-87ca-51cedfdc4f00 · outbound

This paper cites Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network, Digital Communications and Networks 2023, 9 (1), 125--137.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Light gradient boosting machine with optimized hyperparameters for identification of malicious access in IoT network, Digital Communications and Networks 2023, 9 (1), 125--137

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:48.353516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 849a3b3c-4078-456e-a89b-cdb56d2d3c8d · outbound

This paper cites Intrusion detection model of Internet of Things based on LightGBM, IEICE Transactions on Communications 2023, 106 (8), 622--634.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Intrusion detection model of Internet of Things based on LightGBM, IEICE Transactions on Communications 2023, 106 (8), 622--634

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:48.194959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4a1474e2-2327-4e1c-bc8b-a468391788ec · outbound

This paper cites Multi-sensor Data Fusion Method Based on ARIMA-LightGBM for AGV Positioning, In 2021 5th International Conference on Robotics and Automation Sciences (ICRAS), 2021; pp 272--276.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Multi-sensor Data Fusion Method Based on ARIMA-LightGBM for AGV Positioning, In 2021 5th International Conference on Robotics and Automation Sciences (ICRAS), 2021; pp 272--276

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:47.993472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1e049bb6-c27b-4667-bc53-bbbee5ddb821 · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:47.829150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eba29edb-77cb-4a32-9c7b-862a63183714 · outbound

This paper cites Long short-term memory, Neural computation 1997, 9 (8), 1735--1780.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Long short-term memory, Neural computation 1997, 9 (8), 1735--1780

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:47.679524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ddcead68-af0a-49da-851f-d51f02c187dc · outbound

This paper cites A review of data-driven approaches for prediction and classification of building energy consumption, Renewable and Sustainable Energy Reviews 2018, 82, 1027--1047.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A review of data-driven approaches for prediction and classification of building energy consumption, Renewable and Sustainable Energy Reviews 2018, 82, 1027--1047

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:47.518769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 99b379fb-a99e-4f46-9d2f-8cbe5d0b34e2 · outbound

This paper cites A comparative performance analysis of different activation functions in LSTM networks for classification, Neural Computing and Applications 2019, 31, 2507--2521.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A comparative performance analysis of different activation functions in LSTM networks for classification, Neural Computing and Applications 2019, 31, 2507--2521

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:47.316675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 77bf5cb2-6498-47fe-b810-161a8eaeb49c · outbound

This paper cites LSTM inefficiency in long-term dependencies regression problems, Journal of Advanced Research in Applied Sciences and Engineering Technology 2023, 30 (3), 16--31.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems LSTM inefficiency in long-term dependencies regression problems, Journal of Advanced Research in Applied Sciences and Engineering Technology 2023, 30 (3), 16--31

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:47.127360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c8bd1e0e-0d5b-44c3-a39b-f1792d1e3fbd · outbound

This paper cites A survey on anomaly detection for technical systems using LSTM networks, Computers in Industry 2021, 131, 103498.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A survey on anomaly detection for technical systems using LSTM networks, Computers in Industry 2021, 131, 103498

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.959937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2cfc3128-f8a6-45d2-9646-16babb88656a · outbound

This paper cites A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting, Expert Systems with Applications 2024, 254, 124409.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting, Expert Systems with Applications 2024, 254, 124409

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.790686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 85db2c3e-1248-4530-8f30-e6a4f451fb96 · outbound

This paper cites Paraphrase detection using LSTM networks and handcrafted features, Multimedia Tools and Applications 2021, 80 (4), 6479--6492.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Paraphrase detection using LSTM networks and handcrafted features, Multimedia Tools and Applications 2021, 80 (4), 6479--6492

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.636862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 893b0a34-3f93-4aa3-8e03-cdbbc3c6cb52 · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:46.547193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd0da095-f4d6-4428-9c87-243dd3d2902d · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:46.522204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0be5da88-0b23-46b8-904b-29d684e8d266 · outbound

This paper cites Unidirectional and bidirectional LSTM models for short-term traffic prediction, Journal of Advanced Transportation 2021, 2021 (1), 5589075.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unidirectional and bidirectional LSTM models for short-term traffic prediction, Journal of Advanced Transportation 2021, 2021 (1), 5589075

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.497161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e2778a5-a796-44eb-91c8-17fe50b830cc · outbound

This paper cites Extended Isolation Forest, IEEE Transactions on Knowledge and Data Engineering 2021, 33 (4), 1479--1489.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Extended Isolation Forest, IEEE Transactions on Knowledge and Data Engineering 2021, 33 (4), 1479--1489

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.443273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebc3fad4-ba28-4033-b897-6184b136257c · outbound

This paper cites Anomaly detection: A survey, ACM Comput.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Anomaly detection: A survey, ACM Comput

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.402118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a84c70ca-3211-4a2a-a88f-40074bf3df1b · outbound

This paper cites New Trends in Time Series Anomaly Detection., In EDBT, 2023; pp 847--850.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems New Trends in Time Series Anomaly Detection., In EDBT, 2023; pp 847--850

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.373270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b2b38be0-fd41-46df-a47b-29780e123a51 · outbound

This paper cites An In-Depth Study and Improvement of Isolation Forest, IEEE Access 2022, 10, 10219--10237.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems An In-Depth Study and Improvement of Isolation Forest, IEEE Access 2022, 10, 10219--10237

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.357252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 087727f8-e50a-4a0d-a0b4-ced7ab219a59 · outbound

This paper cites l-DBSCAN : A Fast Hybrid Density Based Clustering Method, In 18th International Conference on Pattern Recognition (ICPR'06), 2006; Vol.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems l-DBSCAN : A Fast Hybrid Density Based Clustering Method, In 18th International Conference on Pattern Recognition (ICPR'06), 2006; Vol

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.341241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e98bd904-d7cd-40c7-b62f-a601a670ebe7 · outbound

This paper cites Approximate training of one-class support vector machines using expected margin, Computers & Industrial Engineering 2019, 130, 772--778.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Approximate training of one-class support vector machines using expected margin, Computers & Industrial Engineering 2019, 130, 772--778

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.324782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8b61c6a1-e24c-4135-b4dc-57edf1588f3f · outbound

This paper cites Autoencoders and their applications in machine learning: a survey, Artificial Intelligence Review 2024, 57 (2), 28.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Autoencoders and their applications in machine learning: a survey, Artificial Intelligence Review 2024, 57 (2), 28

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.309522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c085f268-4418-4a8d-a990-fe447b127bb8 · outbound

This paper cites Isolation forest, In 2008 eighth ieee international conference on data mining, IEEE, 2008; pp 413--422.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Isolation forest, In 2008 eighth ieee international conference on data mining, IEEE, 2008; pp 413--422

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.291306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1be78495-739b-49b6-a7c5-2f96b20e3206 · outbound

This paper cites an unresolved cited work.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:10:46.274855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 48271419-ab0f-464f-8ccc-4d48bc20f80b · outbound

This paper cites Effects of data preprocessing on detecting autism in adults using web-based eye-tracking data, Behaviour & Information Technology 2023, 42 (14), 2476--2484.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Effects of data preprocessing on detecting autism in adults using web-based eye-tracking data, Behaviour & Information Technology 2023, 42 (14), 2476--2484

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.257323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f1a1ec4e-5f44-462b-b196-edbdc0f6c6b2 · outbound

This paper cites Missing data in time series: A review of imputation methods and case study, Learning and Nonlinear Models 2022, 20 (1), 31--46.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Missing data in time series: A review of imputation methods and case study, Learning and Nonlinear Models 2022, 20 (1), 31--46

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.240450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23bb35f2-a760-4a97-996c-f1ecc1a3a537 · outbound

This paper cites v‐plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions, Computer Graphics Forum 2020, 39, 565--577.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems v‐plots: Designing Hybrid Charts for the Comparative Analysis of Data Distributions, Computer Graphics Forum 2020, 39, 565--577

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.224245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 88faa181-3d64-4092-9f24-5d577945675a · outbound

This paper cites Random feature selection using random subspace logistic regression, Expert Systems with Applications 2023, 217, 119535.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Random feature selection using random subspace logistic regression, Expert Systems with Applications 2023, 217, 119535

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.206819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 87effed6-f326-4dae-8b90-f90d8c2a840f · outbound

This paper cites Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control, Building and Environment 2020, 183, 107212.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Anomaly detection based on machine learning in IoT-based vertical plant wall for indoor climate control, Building and Environment 2020, 183, 107212

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.187846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4dae4e34-427e-4429-aa59-c4b644bdce32 · outbound

This paper cites Electricity load forecasting: a systematic review, Journal of Electrical Systems and Information Technology 2020, 7, 1--19.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Electricity load forecasting: a systematic review, Journal of Electrical Systems and Information Technology 2020, 7, 1--19

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.156878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08d989c7-710c-4119-9698-a24187dc5387 · outbound

This paper cites Global vs.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems Global vs

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.140393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7e607084-efcd-45f7-b5c7-fe644dda6e58 · outbound

This paper cites , " * write output.state after.block =.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems , " * write output.state after.block =

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.124294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5253b47b-ba2c-47ef-8c7c-88db7d8a9ced · outbound

This paper cites write newline.

Data-Driven Heat Pump Management: Combining Machine Learning with Anomaly Detection for Residential Hot Water Systems write newline

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:10:46.107091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers