Load forecasting model consisting of data mining based orthogonal greedy algorithm and long short-term memory network

Load forecasting model consisting of data mining based orthogonal greedy algorithm and long short-term memory network

To reduce the waste of electricity, load forecasting is essential for power scheduling and system management. However, when the external environment experiences unexpected changes, most of the existing load forecasting models have no capability to adjust the predicted values, accordingly. Therefore,...

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Bibliographic Details
Main Authors:	Xin Hu, Keyi Li, Jingfu Li, Taotao Zhong, Weinong Wu, Xia Zhang, Wenjiang Feng
Format:	Article
Language:	English
Published:	Elsevier 2022-08-01
Series:	Energy Reports
Subjects:	Load forecasting model Feature selection Data mining based orthogonal greedy algorithm Long short-term memory network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352484722003572

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