A SVM-based implicit stochastic joint scheduling method for ‘wind-photovoltaic-cascaded hydropower stations’ systems-Reference-Cited by-同舟云学术

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A SVM-based implicit stochastic joint scheduling method for ‘wind-photovoltaic-cascaded hydropower stations’ systems

Published:2022-11 Issue: Volume:8 Page:811-823
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Li Jidong,Luo Guangjie,Hu Wenbin,Chen Shijun,Liu Xing,Gao Lu

Funder

Sichuan Province Science and Technology Support Program

Sichuan Agricultural University

Publisher

Elsevier BV

Subject

General Energy

Reference21 articles.

1. Global assessment report on disaster risk reduction,2022

2. Impact of clean energy and inclusive development on CO2 emissions in sub-Saharan Africa;Maji;J Clean Prod,2019

3. Statistical review of world energy,2021

4. Coordinative optimization of hydro-photovoltaic-wind-battery complementary power stations;An;Csee J Power Energy Syst,2020

5. Optimal design of hydro-wind-PV multi-energy complementary systems considering smooth power output;Ren;Sustain Energy Technol Assess,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coupled Complementary Operation and Optimal Planning of Energy-Water Nexus Synergies: Balancing Water Demand and Renewable Energy Production;2024

2. Capacity evaluation of hydropower for accommodating wind‐photovoltaic power generation in the dry season;IET Renewable Power Generation;2023-09-28

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