Spatio-Temporal Graph Neural Network and Pattern Prediction Based Ultra-Short-Term Power Forecasting of Wind Farm Cluster-Reference-Cited by-同舟云学术

Spatio-Temporal Graph Neural Network and Pattern Prediction Based Ultra-Short-Term Power Forecasting of Wind Farm Cluster

Author:

Liu Xiaoyan¹^ORCID,Zhang Yiran²,Zhen Zhao¹^ORCID,Xu Fei³,Wang Fei¹^ORCID,Mi Zengqiang¹

Affiliation:

1. Department of Electrical Engineering, North China Electric Power University, Baoding, China

2. School of International Education (BAODING), North China Electric Power University, Baoding, China

3. State Key Laboratory of New Type Power System Operation and Control, Tsinghua University, Beijing, China

Funder

National Key R&D Program of China, Multi-timescale Forecast Technology for Large-scale Wind/Photovoltaic Power Supply Capability

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

Reference57 articles.

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4. Ultra-Short-Term Wind Power Forecasting Based on Deep Embedded Clustering and LSTM;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11