Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:18:06.765188Z
Paper Citation Record · LEDGER
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework
As of 18 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 0 inbound Pith citation observations for arXiv:2412.07782.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
76 of 76 outbound references displayed
- verified exact1
- verified fuzzy49
- unresolved26
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- malformed identifier0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d4fca3d5-4c14-4c53-ad05-9d700e439999 · outbound
This paper cites Artificial intelligence for smart renewable energy sector in europe - Smart energy infrastructures for next generation smart cities,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Artificial intelligence for smart renewable energy sector in europe - Smart energy infrastructures for next generation smart cities,
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e16b3d75-f454-4b9e-a0a2-ef293488c7a8 · outbound
This paper cites In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance,
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 096efc44-ffaa-4035-9382-1b48980a6cdb · outbound
This paper cites A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers
Reference 3
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6372f567-5123-407f-b457-bb05f1d6f278 · outbound
This paper cites Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series,
Reference 4
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation beed8a69-24ff-4119-8fb8-82aa3b9b277a · outbound
This paper cites A machine learning-based framework for clus- tering residential electricity load profiles to enhance demand response programs,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework A machine learning-based framework for clus- tering residential electricity load profiles to enhance demand response programs,
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cd30f582-3f04-491b-979c-c017193bdea9 · outbound
This paper cites Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Application of Artificial Intelligence for EV Charging and Discharging Scheduling and Dynamic Pricing: A Review,
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8952e359-a770-4ecd-aef1-8bb2a3aaf320 · outbound
This paper cites Non-Intrusive Load Monitoring: A Review,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Non-Intrusive Load Monitoring: A Review,
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5df5f12e-d02c-420b-a6c4-4b5fca6a7139 · outbound
This paper cites The Current State of the Art in Research on Predictive Main- tenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework The Current State of the Art in Research on Predictive Main- tenance in Smart Grid Distribution Network: Fault’s Types, Causes, and Prediction Methods—A Systematic Review,
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 106ca75b-5873-4d86-9991-c1f630e8366f · outbound
This paper cites Analysis of cyber-attacks on smart grid applications,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Analysis of cyber-attacks on smart grid applications,
Reference 9
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cda6610f-ecb8-468e-99ee-6e7d8bff7da0 · outbound
This paper cites Adversarial attacks on deep learning models in smart grids,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Adversarial attacks on deep learning models in smart grids,
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 74c3cb3f-0b33-4f74-a13b-c539530c329c · outbound
This paper cites Avoiding Occupancy Detection from Smart Meter Using Adversarial Machine Learning,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Avoiding Occupancy Detection from Smart Meter Using Adversarial Machine Learning,
Reference 11
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58d2f629-7a04-43c8-b7fb-03bdee720adc · outbound
This paper cites Smart Cities: A Survey on Data Management, Security, and Enabling Technologies,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Smart Cities: A Survey on Data Management, Security, and Enabling Technologies,
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e8ab34cc-3d88-490d-a034-48cca4bf395e · outbound
This paper cites ‘Human oversight’ in the EU artificial intelligence act: what, when and by whom?.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework ‘Human oversight’ in the EU artificial intelligence act: what, when and by whom?
Reference 13
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f73e7bae-e017-4c18-8b6f-79371da589cd · outbound
This paper cites Sustainable AI: Environ- mental Implications, Challenges and Opportunities,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Sustainable AI: Environ- mental Implications, Challenges and Opportunities,
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7fa3af33-dd4c-4409-a8e1-50547cd9f391 · outbound
This paper cites Concrete Problems in AI Safety,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Concrete Problems in AI Safety,
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 639f38cb-9ed3-4ed5-8bc2-dc0cfb5a9b25 · outbound
This paper cites AI and Energy Justice,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework AI and Energy Justice,
Reference 16
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8a60d925-7d1e-442b-8661-b882890dd727 · outbound
This paper cites A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-based Attack Estimation,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework A Novel Cyberattack-Resilient Frequency Control Method for Interconnected Power Systems Using SMO-based Attack Estimation,
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2512d6f6-5a0f-4daf-8268-9b04b754b12f · outbound
This paper cites SearchFromFree: Adversarial Mea- surements for Machine Learning-based Energy Theft Detection,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework SearchFromFree: Adversarial Mea- surements for Machine Learning-based Energy Theft Detection,
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a5758e91-1d07-4571-8699-05a91d5ce5f5 · outbound
This paper cites Ethics guidelines for trustworthy AI — Shaping Europe’s digital future,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Ethics guidelines for trustworthy AI — Shaping Europe’s digital future,
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation afd74645-8c01-4148-90a6-4fd968ec3e39 · outbound
This paper cites White Paper On Artificial Intelligence - A European approach to excellence and trust,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework White Paper On Artificial Intelligence - A European approach to excellence and trust,
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 24fd5623-3130-4e60-8be9-b3a7ee0aa09b · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2cb8bac1-4676-4fc7-b6c9-877ddc3e7255 · outbound
This paper cites Artificial intelligence for next generation energy services across Europe - The I-NERGY project,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Artificial intelligence for next generation energy services across Europe - The I-NERGY project,
Reference 22
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f8990011-1463-4085-8f7b-ba24545fe331 · outbound
This paper cites Targeted demand response for flexible energy communities using clustering techniques,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Targeted demand response for flexible energy communities using clustering techniques,
Reference 23
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d072c524-36f8-4cf1-9a65-272327655c17 · outbound
This paper cites DeepTSF: Codeless machine learning operations for time series forecasting,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework DeepTSF: Codeless machine learning operations for time series forecasting,
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e89db045-3fdd-4180-85a9-903f24648d02 · outbound
This paper cites Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks,
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3b7f857e-737b-42e7-a5ba-0fe3f50e597f · outbound
This paper cites AI4EU, AI4EU - The European AI on Demand Platform, 2020.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework AI4EU, AI4EU - The European AI on Demand Platform, 2020
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8ebbcc79-e744-4869-8a04-e85b3879cf46 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 27
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e4f978db-af5b-4620-8b28-40e4360051f8 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 28
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Source-reported events for the cited work
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Observation c024102b-3dfc-4867-84bd-97a6067691ea · outbound
This paper cites Trustworthy AI: From Principles to Practices,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Trustworthy AI: From Principles to Practices,
Reference 29
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Source-reported events for the cited work
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Observation 7debb7e7-807a-4010-8d76-c93036b13005 · outbound
This paper cites Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Enabling Trustworthiness in Sustainable Energy Infrastructure Through Blockchain and AI-Assisted Solutions,
Reference 30
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d667778-cf59-4bf1-ba95-ec7510ee4b73 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 31
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Source-reported events for the cited work
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Observation d02a00fa-0cf1-46d3-9bfc-2322e4915a02 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 32
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 69f4d1ae-6dab-4b47-9912-320f2bd95e85 · outbound
This paper cites Charter of Fundamental Rights of the European Union,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Charter of Fundamental Rights of the European Union,
Reference 33
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2f0780fc-4130-4d6e-9ba7-295e11624e2b · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 34
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 93aa51d9-7e00-4747-b414-6f58f0f52223 · outbound
This paper cites Policy and investment recommendations for trustworthy Artificial Intelligence,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Policy and investment recommendations for trustworthy Artificial Intelligence,
Reference 35
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 88ef53c1-3ce1-4656-8055-2babb5df62e1 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 36
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 09fd8050-1fb6-4982-a789-244227ffbba2 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 37
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a7a3ec6a-eca5-4a6e-88a6-1ce176f96493 · outbound
This paper cites Assessment list for the responsible development and use of AI,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Assessment list for the responsible development and use of AI,
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5c112225-23f8-4a51-a076-8713ef7d27b0 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 88cac994-b5ae-4ceb-972d-34d68248e4fe · outbound
This paper cites Smart Grids and Eth-ics,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Smart Grids and Eth-ics,
Reference 40
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d5a16bd5-9c90-46e2-9cc3-1c956609840a · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9a634870-03be-4ddd-b6b1-9c16508e5a88 · outbound
This paper cites The cost of incidents affecting CIIs,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework The cost of incidents affecting CIIs,
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a108bf7b-cc92-456d-8a89-06f6c5c161d0 · outbound
This paper cites Energy justice: Conceptual insights and practical applications,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Energy justice: Conceptual insights and practical applications,
Reference 43
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6409c106-f342-4038-8c57-6d80bfe311b4 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 44
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e64b56c8-9a54-47d7-b35d-b250f4e9bd8a · outbound
This paper cites Quantifying the Carbon Emissions of Machine Learning,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Quantifying the Carbon Emissions of Machine Learning,
Reference 45
- Resolution
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- raw_fallback, observed 2026-08-12T13:18:07.221865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fd97fb4f-889b-46be-bf5c-da9a4f1b1b91 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 10495089-c30e-4faf-a4d0-7a9433c76867 · outbound
This paper cites Life cycle assessment of greenhouse gas emissions,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Life cycle assessment of greenhouse gas emissions,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:18:07.200673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e0552fa7-9402-4dd3-9f17-a74780c79d37 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T13:18:07.188824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d8a6e7fc-e8f1-42db-ae09-e29fe157f4d0 · outbound
This paper cites An approach for a fundamental rights impact assess- ment to automated decision-making,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework An approach for a fundamental rights impact assess- ment to automated decision-making,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T13:18:07.177636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 46cc9613-be1b-4a89-9aec-528e21a3f051 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 50
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2fb0e32e-c85c-424e-be4a-0d6b80074c30 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 51
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f2e8fe09-0443-463f-8b75-33c011a4d9f1 · outbound
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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Adversarial Robustness Toolbox v1.0.0,
Reference 52
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 17c2f8a9-776f-4fa0-85b3-a4162a3d58ab · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 53
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 437d456c-5913-4a09-87ee-57e6495d30db · outbound
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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Securing Web Services with Keycloak,
Reference 54
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9c720c42-4131-46e0-af8e-7e56056f6e7b · outbound
This paper cites What Is MLOps?.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework What Is MLOps?
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f5a75e20-1a26-4495-b9e7-c04ba105dca7 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 56
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation eca74219-87c7-4a81-a218-9a3c79c3e216 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 57
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 28dec1c0-e3e5-4eec-b09f-0fb5daafdec1 · outbound
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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Datasheets for datasets,
Reference 58
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b852cc69-2574-439b-b840-4d39208b11fe · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 59
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8848d147-31bd-461d-9aff-2a275a7a7398 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 60
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c8208c86-0fa6-4539-a57c-4ab954889f1e · outbound
This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecast- ing,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework N-BEATS: Neural basis expansion analysis for interpretable time series forecast- ing,
Reference 61
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 772d72cb-8584-4359-b317-0d596c623cbb · outbound
This paper cites Temporal Fusion Trans- formers for Interpretable Multi-horizon Time Series Forecasting,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Temporal Fusion Trans- formers for Interpretable Multi-horizon Time Series Forecasting,
Reference 62
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0470201e-a76f-4b93-b498-181a6f4adc22 · outbound
This paper cites AI Fairness 360: An ex- tensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework AI Fairness 360: An ex- tensible toolkit for detecting, understanding, and mitigating unwanted algorithmic bias,
Reference 63
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a3bf23cb-7d59-4ec2-8dc8-a6b449b7a43b · outbound
This paper cites Aequitas: A Bias and Fairness Audit Toolkit,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Aequitas: A Bias and Fairness Audit Toolkit,
Reference 64
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8cce23d6-bef6-4816-867d-0cc5b1d7f17a · outbound
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Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework FairTest: Discovering Unwarranted Associations in Data-Driven Applications,
Reference 65
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 223dc5a2-a544-4a5d-9327-12d72105e3f8 · outbound
This paper cites Themis-ml: A Fairness-aware Machine Learning Inter- face for End-to-end Discrimination Discovery and Mitigation,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Themis-ml: A Fairness-aware Machine Learning Inter- face for End-to-end Discrimination Discovery and Mitigation,
Reference 66
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 25ef32e8-5325-467b-9c9f-bf8603b9ee58 · outbound
This paper cites Using AI to help achieve Sustainable Development Goals — United Nations Develop- ment Programme,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Using AI to help achieve Sustainable Development Goals — United Nations Develop- ment Programme,
Reference 67
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fc559abc-b356-4a65-8173-4602d2a852ee · outbound
This paper cites The role of artificial intelligence in achieving the Sustainable Development Goals,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework The role of artificial intelligence in achieving the Sustainable Development Goals,
Reference 68
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6e082315-1a79-4b57-99a2-23435debe23d · outbound
This paper cites Aligning artificial intelligence with climate change miti- gation,.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Aligning artificial intelligence with climate change miti- gation,
Reference 69
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5271e43b-8194-42a2-bbad-812d72aa24eb · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 70
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c387c154-3abb-4206-a2f8-259cdd5ccd39 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 71
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 721bbecd-bcdb-41a9-9dec-5154fdec556a · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 72
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 105eb6ec-2907-4c42-b464-35e3666a9f70 · outbound
This paper cites Erbach, Energy Union Strategy, 2015.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Erbach, Energy Union Strategy, 2015
Reference 73
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ded38757-64ce-402b-994d-f0654d41f938 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 74
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6aaf2f9f-78b1-499d-8afa-eb6cfe1a3cc2 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 75
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0dc48c99-c34c-40ff-a4d9-1e928411a649 · outbound
This paper cites an unresolved cited work.
Trustworthy artificial intelligence in the energy sector: Landscape analysis and evaluation framework Unresolved cited work
Reference 76
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
No inbound Pith citation observations are available.