Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network-Reference-Cited by-同舟云学术

Mid-to-long term wind and photovoltaic power generation prediction based on copula function and long short term memory network

Published:2019-04 Issue: Volume:239 Page:181-191
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Han Shuang,Qiao Yan-hui,Yan Jie,Liu Yong-qian,Li Li,Wang Zheng

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China: Fundamental Theory of Planning and Operation for Power Systems with High Share of Renewable Energy Generations

Fundamental Research Funds for the Central Universities

State Grid Jiangxi Electric Power Research Institute

China Electric Power Research Institute

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

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