Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy-Reference-Cited by-同舟云学术

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Spatiotemporal wind power forecasting approach based on multi-factor extraction method and an indirect strategy

Published:2023-11 Issue: Volume:350 Page:121749
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Sun Shaolong,Du Zongjuan,Jin Kun,Li Hongtao,Wang Shouyang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

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

Reference58 articles.

1. Runoff forecast uncertainty considered load adjustment model of cascade hydropower stations and its application;Jiang;Energy,2018

2. Global wind report 2023;Hutchinson,2023

3. A novel system based on neural networks with linear combination framework for wind speed forecasting;Wang;Energ Conver Manage,2019

4. Diurnal cycle RANS simulations applied to wind resource assessment;Barcons;Wind Energy,2019

5. Combined model with secondary decomposition-model selection and sample selection for multi-step wind power forecasting;Wu;Appl Energy,2020

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