An ensemble method for short-term wind power prediction considering error correction strategy-Reference-Cited by-同舟云学术

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An ensemble method for short-term wind power prediction considering error correction strategy

Published:2022-09 Issue: Volume:322 Page:119475
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Ye Lin,Dai Binhua,Li Zhuo,Pei Ming,Zhao Yongning,Lu Peng

Funder

National Natural Science Foundation of China

State Grid Corporation of China

Science and Technology Project of State Grid

Publisher

Elsevier BV

Subject

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

Reference41 articles.

1. Reducing carbon emissions by integrating urban water systems and renewable energy sources at a community scale;Liu;Renew Sustain Energy Rev,2020

2. Selection of carbon emissions control industries in China: an approach based on complex networks control perspective;Hu;Technol Forecast SOC,2021

3. The mutual benefits of renewables and carbon capture: achieved by an artificial intelligent scheduling strategy;Chen;Energ Convers Manage,2021

4. A novel ensemble model for long-term forecasting of wind and hydro power generation;Malhan;Energ Convers Manage,2022

5. Power prediction of a wind farm cluster based on spatiotemporal correlations;Zhang;Appl Energ,2021

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