Short-term microgrid load probability density forecasting method based on k-means-deep learning quantile regression
Traditional short-term load forecasting (STLF) methods for large utility grid systems usually provide the forecasted load with deterministic points. However, deterministic load forecasting cannot reveal the load pattern and uncertainty of controllable load in a microgrid, where the prediction errors...
Main Authors: | Zilong Zhao, Jinrui Tang, Jianchao Liu, Ganheng Ge, Binyu Xiong, Yang Li |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-08-01
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Series: | Energy Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722006758 |
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