Short-term residential load forecasting based on LSTM recurrent neural network
As the power system is facing a transition toward a more intelligent, flexible, and interactive system with higher penetration of renewable energy generation, load forecasting, especially short-term load forecasting for individual electric customers plays an increasingly essential role in the future...
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Main Authors: | , , , , , |
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格式: | Article |
語言: | English |
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2021
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在線閱讀: | https://hdl.handle.net/10356/151360 |
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機構: | Nanyang Technological University |
語言: | English |