Adaptive IES Load Forecasting Method Based on the Octopus Model

Adaptive IES Load Forecasting Method Based on the Octopus Model

Improving the accuracy and speed of integrated energy system load forecasting is a great significance for improving the real-time scheduling and optimized operation of the integrated energy system. In order to achieve rapid and accurate forecasting of the integrated energy system, this paper propose...

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Bibliographic Details
Main Authors: Na Zhang, Xiao Pan, Yihe Wang, Mingli Zhang, Mengzeng Cheng, Wenying Shang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Energy Research
Subjects:
comprehensive energy
generative confrontation network
XGBoost algorithm
RMSProp adaptive learning
octopus model
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2021.709708/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2021.709708/full

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