Deep graph gated recurrent unit network-based spatial–temporal multi-task learning for intelligent information fusion of multiple sites with application in short-term spatial–temporal probabilistic forecast of photovoltaic power

Author:

Bai MingliangORCID,Zhou Zhihao,Li Jingjing,Chen Yunxiao,Liu Jinfu,Zhao Xinyu,Yu Daren

Funder

National Key Research and Development Program of China

National Major Science and Technology Projects of China

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference91 articles.

1. Accurate four-hour-ahead probabilistic forecast of photovoltaic power generation based on multiple meteorological variables-aided intelligent optimization of numeric weather prediction data;Bai;Earth Science Informatics,2023

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3. A concise overview on solar resource assessment and forecasting;Yang;Advances in Atmospheric Sciences,2022

4. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality;Yang;Renewable and Sustainable Energy Reviews,2022

5. A historical weather forecast dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF) for energy forecasting;Yang;Solar Energy,2022

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