Ultra-short-term prediction of regional photovoltaic power based on dynamic graph convolutional neural network
Author:
Funder
National Key Research and Development Program of China
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Reference34 articles.
1. REN21. Renewables 2017 global status report; 2017.
2. A satellite image data based ultra-short-term solar PV power forecasting method considering cloud information from neighboring plant;Wang;Energy,2022
3. Improving solar forecasting using deep learning and portfolio theory integration;Lima;Energy,2020
4. Cloud motion tracking system using low-cost sky imager for PV power ramp-rate control;Zhang,2018
5. Review of photovoltaic power forecasting;Antonanzas;Solar Energy,2016
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