Energy Demand Forecasting
Energy Demand Forecasting is a predictive analytic process within energy resource management that estimates future energy consumption patterns by applying quantitative models and historical data to support strategic planning and operational decision-making.
7K
Publications
432.9K
Citations
18.8K
Authors
3.8K
Institutions
Publications per year
2017–2026
4.2K
Parents
Children
Demand Response Impact ForecastingElectricity Consumption ForecastingElectricity Price Demand ForecastingHoliday Load ForecastingIndustrial Load ForecastingIntegrated Energy Demand ForecastingIntra-day Load ForecastingLoad Profile ForecastingLong-term Load ForecastingMedium-term Load Forecasting
7K
Predicting residential energy consumption using CNN-LSTM neural networks
Tae Young Kim, Sung-Bae Cho · Energy · 2019 · 1.4K citations
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North China Electric Power University
Beijing, China
45 h-index
387 publications
24K citations
Tsinghua University
Beijing, China
39 h-index
178 publications
15K citations

University of Tehran
Tehran, Iran
37 h-index
175 publications
10.7K citations
National University of Singapore
Singapore, Singapore
35 h-index
135 publications
13.5K citations

Beijing Institute of Technology
Beijing, China
34 h-index
142 publications
11.8K citations

Chinese Academy of Sciences
Beijing, China
34 h-index
111 publications
8.2K citations

Huazhong University of Science and Technology
Wuhan, China
32 h-index
144 publications
13.3K citations
Technical University of Denmark
Kongens Lyngby, Denmark
32 h-index
102 publications
5.8K citations
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561 publications · 53.3K citations
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371 publications · 35.9K citations
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210 publications · 21.7K citations
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234 publications · 22.5K citations
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104 publications · 14.2K citations
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