Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models | Paper Citation Record

Observation 71454924-4bb5-4945-a467-834010dea959 · outbound

This paper cites FOTW #1365, October 21, 2024: U.S. Net Generation of Electricity Relied on Record Use of Renewables while Coal Use Dropped to a Record Low in 2023,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models FOTW #1365, October 21, 2024: U.S. Net Generation of Electricity Relied on Record Use of Renewables while Coal Use Dropped to a Record Low in 2023,

Reference 1

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This paper cites Intelligent Systems for Power Load Forecasting: a Study Review,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Intelligent Systems for Power Load Forecasting: a Study Review,

Reference 2

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Observation 8e8e9924-413f-48ea-a1b8-45141cfaf3e4 · outbound

This paper cites Deep Learning Modeling in Electricity Load forecasting: Improved Accuracy by Combining DWT and LSTM,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Deep Learning Modeling in Electricity Load forecasting: Improved Accuracy by Combining DWT and LSTM,

Reference 3

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Observation c2428f12-00b0-48a0-83a5-1a1b72bf5167 · outbound

This paper cites Electric Load Forecasting in Smart Grids Using Long-Short-Term-Memory Based Recurrent Neural Network,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Electric Load Forecasting in Smart Grids Using Long-Short-Term-Memory Based Recurrent Neural Network,

Reference 4

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Observation 996fbfad-107e-445a-8048-5ea10c01ec47 · outbound

This paper cites A General Framework for Load Forecasting based on Pre-trained Large Language Model.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models A General Framework for Load Forecasting based on Pre-trained Large Language Model

Reference 5

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Observation 64061c07-c24c-49df-8f91-b72e1709908d · outbound

This paper cites Accurate Electricity Load Forecasting with Artificial Neural Networks,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Accurate Electricity Load Forecasting with Artificial Neural Networks,

Reference 6

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Observation 782685a4-db6a-4ac5-adc4-ec311e9abd07 · outbound

This paper cites Machine Learning Basics and Potential Applications in Power Systems,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Machine Learning Basics and Potential Applications in Power Systems,

Reference 7

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Observation 2cfd69f2-44d7-4e62-ac69-a511bf6f4e1f · outbound

This paper cites Machine Learning Applications in Electric Power Systems: Enhancing Efficiency, Reliability, and Sustainability,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Machine Learning Applications in Electric Power Systems: Enhancing Efficiency, Reliability, and Sustainability,

Reference 8

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Observation 1bdf9c92-3a25-49e1-bfe7-efbaba13ac7b · outbound

This paper cites Load Forecasting in Applied Mathematics for Power Systems,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Load Forecasting in Applied Mathematics for Power Systems,

Reference 9

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.697728Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 320644a7-4908-496b-beab-eff4dd5c0955 · outbound

This paper cites Long-term Load forecasting: Models Based on MARS, ANN and LR Methods,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Long-term Load forecasting: Models Based on MARS, ANN and LR Methods,

Reference 10

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.684595Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 033c97bb-3243-4a93-a3e8-fd0ac7560f84 · outbound

This paper cites Methods and Models for Electric Load Forecasting: A Comprehensive Review,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Methods and Models for Electric Load Forecasting: A Comprehensive Review,

Reference 11

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Observation 60061ad9-9f43-4f6d-b179-2bb5455e0530 · outbound

This paper cites Load Forecasting Techniques for Power System: Research Challenges and Survey,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Load Forecasting Techniques for Power System: Research Challenges and Survey,

Reference 12

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Observation e750512f-137a-464e-b92c-015eb0e63edd · outbound

This paper cites Short-term Electricity Load forecasting—A Systematic Approach from System Level to Secondary Substations,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short-term Electricity Load forecasting—A Systematic Approach from System Level to Secondary Substations,

Reference 13

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Observation f3fcdbfb-7c10-4b4b-8bb7-f2c9a397a8f5 · outbound

This paper cites Long Term Load Forecasting with Hourly Predictions Based on long-short-term-memory Networks,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Long Term Load Forecasting with Hourly Predictions Based on long-short-term-memory Networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:40:56.218488Z

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Observation dcc2bd39-1a03-44c9-ba9f-135b7c711dd9 · outbound

This paper cites Short-Term Load Forecasting Method Based on ARIMA and LSTM,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short-Term Load Forecasting Method Based on ARIMA and LSTM,

Reference 15

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:40:55.783055Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e7888a6-cbc7-4ee9-bc21-4593f82d71c1 · outbound

This paper cites Forecasting: Principles and Practice,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Forecasting: Principles and Practice,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:40:56.206183Z

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Observation b536f500-6eca-42aa-b6bb-63dddc1ac6ce · outbound

This paper cites Time Series Analysis: Forecasting and Control,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Time Series Analysis: Forecasting and Control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:40:56.195180Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 773ac381-6c84-40a7-aa53-7f8e89edd522 · outbound

This paper cites A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:40:56.184028Z

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Observation 4a73591a-8193-4198-998b-3ae8752f7685 · outbound

This paper cites Comparison of ARIMA and SVM for Short- term Load Forecasting,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Comparison of ARIMA and SVM for Short- term Load Forecasting,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:40:56.171744Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3e94e680-ebe9-48ca-8645-492bb40e4a6b · outbound

This paper cites Short-Term Load Foresting Using Combination of Linear and Non-linear Models,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short-Term Load Foresting Using Combination of Linear and Non-linear Models,

Reference 20

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:40:55.712288Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1196f0bf-1c5b-4fa1-8a95-c212a5883a0f · outbound

This paper cites SARIMA Modelling for Forecasting the Electricity Consumption of a Health Care Building,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models SARIMA Modelling for Forecasting the Electricity Consumption of a Health Care Building,

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:40:55.653290Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1676ee02-ba4f-45a2-be58-dab87b30e366 · outbound

This paper cites ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models ARIMA Models in Electrical Load Forecasting and Their Robustness to Noise,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.349748Z

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Observation 1561221a-2adc-4075-90a7-31d48cec5e25 · outbound

This paper cites Application of a Load Forecasting Model Based on Improved Grey Neural Network in the Smart Grid,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Application of a Load Forecasting Model Based on Improved Grey Neural Network in the Smart Grid,

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.650593Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 034e9c48-ed1b-4d5b-af74-e9d4e7a28d63 · outbound

This paper cites Short Term Load Forecasting Using Multiple Linear Regression,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short Term Load Forecasting Using Multiple Linear Regression,

Reference 24

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:40:55.586101Z

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 d8e07105-98d2-4894-a524-7c4c33b418dd · outbound

This paper cites Short Term Load Forecasting Based on ARIMA and ANN Approaches,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short Term Load Forecasting Based on ARIMA and ANN Approaches,

Reference 25

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.638048Z

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 0d21d7d7-d7d1-49a1-bba8-838994eb1325 · outbound

This paper cites Electrical load forecasting using support vector machines,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Electrical load forecasting using support vector machines,

Reference 26

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:40:55.524030Z

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 34b560ff-05bb-430b-a195-80ed95b20eb0 · outbound

This paper cites Application of Support Vector Machine and Similar Day Method for Load Forecasting,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Application of Support Vector Machine and Similar Day Method for Load Forecasting,

Reference 27

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.625898Z

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 b47e54b2-a5ca-4a66-8998-3b0b3599931b · outbound

This paper cites Neural Networks for short-term Load forecasting: A Review and Evaluation,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Neural Networks for short-term Load forecasting: A Review and Evaluation,

Reference 28

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.613064Z

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 21acbd59-70bd-4bcf-b12c-d2d301e84995 · outbound

This paper cites Nature-inspired Algorithms for feed-forward Neural Network classifiers: a Survey of One Decade of Research,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Nature-inspired Algorithms for feed-forward Neural Network classifiers: a Survey of One Decade of Research,

Reference 29

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.601315Z

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 3190a39f-7e5d-495c-9de1-e0ee8f9688e5 · outbound

This paper cites Long-Term Power Load Forecasting Using LSTM-Informer with Ensemble Learning,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Long-Term Power Load Forecasting Using LSTM-Informer with Ensemble Learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.379913Z

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Unavailable: canonical work link unavailable.

Observation f8a6dd1b-79c5-4788-ae86-a3869b53f300 · outbound

This paper cites Load Forecasting Based on Smart Meter Data and Gradient Boosting Decision Tree,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Load Forecasting Based on Smart Meter Data and Gradient Boosting Decision Tree,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.384576Z

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Unavailable: canonical work link unavailable.

Observation dab8dc98-5eca-4a46-9b9f-6759375d1852 · outbound

This paper cites Prediction of Home Energy Consumption Based on Gradient Boosting Regression Tree,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Prediction of Home Energy Consumption Based on Gradient Boosting Regression Tree,

Reference 32

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.582593Z

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 ffdbe794-cd4b-43d0-b979-05dddd9e3e19 · outbound

This paper cites Energy Consumption Forecasts by Gradient Boosting Regression Trees,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Energy Consumption Forecasts by Gradient Boosting Regression Trees,

Reference 33

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.570537Z

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 9dd1f412-b802-4c87-ad40-5303b9a316e8 · outbound

This paper cites Short-Term Load Forecasts Using LSTM Networks,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short-Term Load Forecasts Using LSTM Networks,

Reference 34

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.558004Z

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 dddad278-0466-4d7b-8197-f4850424b949 · outbound

This paper cites Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Electrical Load Forecasting Using LSTM, GRU, and RNN Algorithms,

Reference 35

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.546443Z

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 c3337140-1e4a-4223-af1d-0674ca8c5f6a · outbound

This paper cites Daily Average Load Demand Forecasting Using LSTM Model Based on Historical Load Trends,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Daily Average Load Demand Forecasting Using LSTM Model Based on Historical Load Trends,

Reference 36

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.533071Z

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 b44dd913-2508-4109-9f81-b7fb4f9127a0 · outbound

This paper cites Load Forecasting Based on LSTM Neural Network and Applicable to Loads of ‘Replacement of Coal with Electricity,’.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Load Forecasting Based on LSTM Neural Network and Applicable to Loads of ‘Replacement of Coal with Electricity,’

Reference 37

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.517098Z

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 5b42c089-7222-40a4-9118-c398fa14c296 · outbound

This paper cites Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.411577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6335f320-d432-4bc2-b06c-95f4010480c4 · outbound

This paper cites Short-Term Load Forecasting Using an LSTM Neural Network,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Short-Term Load Forecasting Using an LSTM Neural Network,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.415121Z

Source-reported events for the cited work

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Observation 65a1033e-1947-423f-ab5b-806cf247d0ff · outbound

This paper cites Understanding LSTM Networks,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Understanding LSTM Networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:40:56.160841Z

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 42470134-7935-4f56-a84d-7ccd36d4e2b3 · outbound

This paper cites Heterogeneous Transfer Learning on Power Systems: A Merged Multi-modal Gaussian Graphical Model,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Heterogeneous Transfer Learning on Power Systems: A Merged Multi-modal Gaussian Graphical Model,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.422555Z

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Unavailable: canonical work link unavailable.

Observation c5c6cf06-07e9-489b-bfc2-44df932f6d19 · outbound

This paper cites Incorporating Air Temperature into mid-term Electricity Load Forecasting Models Using time-series Regressions and Neural Networks,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Incorporating Air Temperature into mid-term Electricity Load Forecasting Models Using time-series Regressions and Neural Networks,

Reference 42

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:40:55.224492Z

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 55a95681-8991-4714-a2eb-959b260ec130 · outbound

This paper cites Effects of Various Factors on Electric Load forecasting: an Overview,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Effects of Various Factors on Electric Load forecasting: an Overview,

Reference 43

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:40:55.161174Z

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 d7e2d0b9-f539-42b7-a13e-bb5d8e0b7166 · outbound

This paper cites Regularizing and Optimizing LSTM Language Models.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Regularizing and Optimizing LSTM Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.433565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2ff1036-abae-4b7b-adfe-121f611dbd7a · outbound

This paper cites Economic LSTM Approach for Recurrent Neural Networks,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Economic LSTM Approach for Recurrent Neural Networks,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.441580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40de8fa0-1624-471c-8ed1-b9530718224b · outbound

This paper cites A Review of Machine Learning Applications in Power System Resilience,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models A Review of Machine Learning Applications in Power System Resilience,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T21:40:54.444986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b991ae49-a653-4dca-b98e-c30dd79be265 · outbound

This paper cites Hybrid of ARIMA and SVMs for Short- Term Load Forecasting,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Hybrid of ARIMA and SVMs for Short- Term Load Forecasting,

Reference 48

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.504438Z

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 2483dcf5-9dc5-45df-8f5c-7fe86bb0bdda · outbound

This paper cites Hybrid Short Term Load Forecasting Using ARIMA-SVM,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Hybrid Short Term Load Forecasting Using ARIMA-SVM,

Reference 49

Resolution: verified exact; raw_fallback, observed 2026-08-15T21:40:54.935156Z

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 857674cc-d6d3-493d-86c1-1154dbff2c9a · outbound

This paper cites Forecasting Electricity Load with Hybrid Scalable Model Based on Stacked Non Linear Residual Approach,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Forecasting Electricity Load with Hybrid Scalable Model Based on Stacked Non Linear Residual Approach,

Reference 50

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:40:54.862707Z

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 1651cfef-7ed5-4159-a164-7db404b78e35 · outbound

This paper cites Hybrid Adaptive Techniques for electric- load Forecast Using ANN and ARIMA,.

Load Forecasting in the Era of Smart Grids: Opportunities and Advanced Machine Learning Models Hybrid Adaptive Techniques for electric- load Forecast Using ANN and ARIMA,

Reference 51

Resolution: verified exact; doi, observed 2026-08-15T21:40:54.491857Z

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.

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