A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System-Reference-Cited by-同舟云学术

A Short-Term Power Prediction Method Based on Temporal Convolutional Network in Virtual Power Plant Photovoltaic System

Author:

Zhou Xiang¹^ORCID,Pang Chengxin¹^ORCID,Zeng Xinhua²^ORCID,Jiang Linhua³^ORCID,Chen Yongbo⁴^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai, China

2. Academy for Engineering and Technology, Fudan University, Shanghai, China

3. School of Information Engineering, Huzhou University, Huzhou, China

4. ZTE Communication Company Ltd., Shenzhen, China

Funder

Fudan Institute on Networking Systems of Artificial Intelligence

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference30 articles.

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4. Photovoltaic Power Prediction Based on Fluctuation Feature Clustering and Graph Attention Mechanisms;2023 5th International Academic Exchange Conference on Science and Technology Innovation (IAECST);2023-12-08