A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response

A Short-Term Load Forecasting Model of LSTM Neural Network considering Demand Response

As one of the key technologies for accelerating the construction of the ubiquitous Internet of Things, demand response (DR) not only guides users to participate in power market operations but also increases the randomness of grid operations and the difficulty of load forecasting. In order to solve t...

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Bibliographic Details
Main Authors:	Xifeng Guo, Qiannan Zhao, Shoujin Wang, Dan Shan, Wei Gong
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Complexity
Online Access:	http://dx.doi.org/10.1155/2021/5571539
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