Short-term power prediction for renewable energy using hybrid graph convolutional network and long short-term memory approach-Reference-Cited by-同舟云学术

Short-term power prediction for renewable energy using hybrid graph convolutional network and long short-term memory approach

Published:2022-10 Issue: Volume:211 Page:108614
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Liao Wenlong,Bak-Jensen Birgitte,Pillai Jayakrishnan Radhakrishna,Yang Zhe^ORCID,Liu Kuangpu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference21 articles.

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