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Deep multi-attribute spatial–temporal graph convolutional recurrent neural network-based multivariable spatial–temporal information fusion for short-term probabilistic forecast of multi-site photovoltaic power

Mingliang Bai, Guowen Zhou, Peng Yao, Fuxiang Dong, Yunxiao Chen, Z. C. Zhou, Xusheng Yang, Jinfu Liu, Daren Yu

2025Expert Systems with Applications14 citationsDOI

Topics & Concepts

Computer scienceProbabilistic logicMultivariable calculusTerm (time)Artificial intelligenceRecurrent neural networkConvolutional neural networkGraphMachine learningPhotovoltaic systemData miningPattern recognition (psychology)Artificial neural networkTheoretical computer scienceQuantum mechanicsBiologyEngineeringEcologyPhysicsControl engineeringSolar Radiation and PhotovoltaicsEnergy Load and Power ForecastingGrey System Theory Applications
Deep multi-attribute spatial–temporal graph convolutional recurrent neural network-based multivariable spatial–temporal information fusion for short-term probabilistic forecast of multi-site photovoltaic power | Litcius