EPformer: Unlocking day-ahead electricity price forecasting accuracy using the time–frequency domain feature learning strategy considering renewable energy
North China Electric Power University · National Institute of Clean and Low-Carbon Energy · +1 more institution
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Abstract
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Citation impact
7
total citations
- FWCI
- 64.79
- Percentile
- 100%
- References
- 33
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Authors
6- HFHang Fan
North China Electric Power University, National Institute of Clean and Low-Carbon Energy
- WLWeican LiuCorresponding
Nanyang Technological University
- ZZZuhan Zhang
North China Electric Power University
- WRWencai Run
North China Electric Power University
- YDYunjie Duan
North China Electric Power University
Topics & keywords
Topics
Keywords
- Electricity price forecasting
- Electricity
- Electricity market
- Renewable energy
- Encoder
- Autocorrelation
- Preprocessor
- Feature (linguistics)
UN Sustainable Development Goals
- Affordable and clean energy
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