Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network

Forecasting method of monthly wind power generation based on climate model and long short-term memory neural network

Predicting wind power generation over the medium and long term is helpful for dispatching departments, as it aids in constructing generation plans and electricity market transactions. This study presents a monthly wind power generation forecasting method based on a climate model and long short-term...

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Bibliographic Details
Main Authors:	Rui Yin, Dengxuan Li, Yifeng Wang, Weidong Chen
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2020-12-01
Series:	Global Energy Interconnection
Subjects:	Wind power Monthly generation forecast Climate model LSTM neural network
Online Access:	http://www.sciencedirect.com/science/article/pii/S2096511721000037

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