Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks
Renewable Energy and Energy Storage|更新时间:2025-08-06
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Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks
“New progress has been made in the field of risk assessment for new energy power systems. Experts have proposed a graph neural network model based on multi head attention mechanism, which effectively improves the robustness and efficiency of the assessment.”
Electric Power ConstructionVol. 46, Issue 1, Pages: 147-157(2025)
作者机构:
1.国网内蒙古东部电力有限公司电力科学研究院,呼和浩特市 010020
2.浙江大学电气工程学院,杭州市 310027
作者简介:
基金信息:
State Grid East lnner Mongolia Electric Power Co.,Ltd.(526604230006)
BAI Yunpeng,ZHANG Zhiyan,XU Cai,et al.Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks[J].Electric Power Construction,2025,46(01):147-157.
BAI Yunpeng,ZHANG Zhiyan,XU Cai,et al.Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks[J].Electric Power Construction,2025,46(01):147-157. DOI: 10.12204/j.issn.1000-7229.2025.01.013.
Risk Assessment of Renewable Energy Power Systems via Graph Multi-Attention Networks