An intelligent scheduling control method for smart grid based on deep learning
Author:
Affiliation:
1. School of Electrical Engineering and Automation, Henan Institute of Technology, Xinxiang, 453003, China
2. Engineering Technology Education Center, Henan Institute of Technology, Xinxiang, 453003, China
Abstract
Publisher
American Institute of Mathematical Sciences (AIMS)
Subject
Applied Mathematics,Computational Mathematics,General Agricultural and Biological Sciences,Modeling and Simulation,General Medicine
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