Decomposition spectral graph convolutional network based on multi-channel adaptive adjacency matrix for renewable energy prediction

Jiarui Liu; Yuchen Fu

doi:10.1016/j.energy.2023.129242

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Decomposition spectral graph convolutional network based on multi-channel adaptive adjacency matrix for renewable energy prediction

Jiarui Liu Yuchen Fu

Year: 2023 Journal: Energy Vol: 284 Pages: 129242-129242 Publisher: Elsevier BV

DOI: 10.1016/j.energy.2023.129242

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Keywords:

Adjacency matrix Computer science Matrix decomposition Photovoltaic system Renewable energy Benchmark (surveying) Graph Algorithm Mathematical optimization Data mining Theoretical computer science Mathematics Engineering

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Decomposition spectral graph convolutional network based on multi-channel adaptive adjacency matrix for renewable energy prediction

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