Advanced Renewable Energy Power Prediction and Optimization Configuration Technology of Energy Storage System Capacity-Reference-Cited by-同舟云学术

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Advanced Renewable Energy Power Prediction and Optimization Configuration Technology of Energy Storage System Capacity

Published:2023-09-21 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Power System Technology (PowerCon)
language:
Short-container-title:

Author:

Wang Zhelong¹,Wang Shuo²,Zhou Zijie²,Wei Shanshan²,Zhu Guoliang²,Wen Fei³

Affiliation:

1. State Grid Shandong Electric Power Company,Marketing Department,Jinan,China

2. State Grid Shandong Integrated Energy Service Co., Ltd,Technology research and development department,Jinan,China

3. Shandong Kehua Power Technology Co., Ltd,New Product Department,Jinan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10330799/10330806/10331277.pdf?arnumber=10331277

Reference10 articles.

1. Analysis of renewable energy power prediction characteristics and measures to improve accuracy;Deng;Southern Power Grid Technology,2023

2. Discussion on the meteorological service system in Guizhou for renewable energy power prediction;Tang;Journal of Meteorology in Mountainous Areas,2022

3. A New Energy Power Forecasting Method using Neural Networks with Autocorrelated Errors

4. Rolling optimization method for reserve capacity considering wind power frequency regulation;Xing;Electric Power Construction,2022

5. Research review and prospect of data cleaning in renewable energy power prediction;Wu;Electric Technology,2020

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