A hybrid ensemble optimized BiGRU method for short-term photovoltaic generation forecasting

Author:

Dai YemingORCID,Yu Weijie,Leng MingmingORCID

Funder

Humanities and Social Science Fund of Ministry of Education of the People's Republic of China

Shandong Province Natural Science Foundation

Ministry of Education of the People's Republic of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference41 articles.

1. An improved moth-flame optimization algorithm for support vector machine prediction of photovoltaic power generation;Lin;J Clean Prod,2020

2. China's energy reform in the new era: process, Achievements and Prospects;Liu;Manag World,2022

3. Application prospect analysis of electrochemical energy storage technology in county-wide rooftop photovoltaic system;Li;Acta Energiae Solaris Sinica,2022

4. Optimally sizing of battery energy storage capacity by operational optimization of residential photovoltaic-Battery systems: an Australian household case study;Mulleriyawage;Renew Energy,2020

5. Ultra short term photovoltaic power prediction based on reinforcement learning and combined deep learning model;Meng;Power Syst Technol,2021

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