Interval forecasting strategy of photovoltaic generation considering multi-factor self-fluctuation-Reference-Cited by-同舟云学术

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Interval forecasting strategy of photovoltaic generation considering multi-factor self-fluctuation

Published:2024-09 Issue: Volume:234 Page:110495
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Zhang Bo,Dou Chunxia,Yuan Dongmei,Zhang Zhanqiang

Funder

China Postdoctoral Science Foundation

Jiangsu Province Natural Science Foundation

National Natural Science Foundation of China

Natural Science Research of Jiangsu Higher Education Institutions of China

Nanjing Xiaozhuang University

Publisher

Elsevier BV

Reference50 articles.

1. An improved encoder-decoder-based CNN model for probabilistic short-term load and PV forecasting;Jurado;Electric. Power Systems Res.,2023

2. Impact of overloading of photovoltaic arrays on the evaluation of photovoltaic power generation forecasts;Salu;Electric. Power Systems Res.,2023

3. Short-term PV power forecast methodology based on multi-scale fluctuation characteristics extraction;Zhu;Renew Energy,2023

4. Local and remote cooperative control of hybrid distribution transformers integrating photovoltaics in active distribution networks;Zhang;IEEE Trans. Sustainable Energy,2022

5. Historical PV-output characteristic extraction based weather-type classification strategy and its forecasting method for the day-ahead prediction of PV output;Zheng;Energy,2023

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