Ultra-Short-Term Forecasting Method for Photovoltaic Power Based on Singular Spectrum Decomposition and Double Attention Mechanism

Xue Dong; Shengxiao Zhao; Yanyan Lu; Xiaofeng Chen; Yan Zhao; Lei Liu

doi:10.3788/LOP213335

Laser & Optoelectronics Progress, Volume. 60, Issue 5, 0525001(2023)

Ultra-Short-Term Forecasting Method for Photovoltaic Power Based on Singular Spectrum Decomposition and Double Attention Mechanism

Xue Dong^1,2,3, Shengxiao Zhao^1,2, Yanyan Lu^1,2, Xiaofeng Chen^1,2, Yan Zhao^1,2, and Lei Liu^3、*

Author Affiliations

¹Key Laboratory of Far-Shore Wind Power Technology of Zhejiang Province, Hangzhou 311122, Zhejiang, China

²Power China Huadong Engineering Corporation Limited, Hangzhou 311122, Zhejiang, China

³School of Engineering Science, University of Science and Technology of China, Hefei 230026, Anhui, China

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Xue Dong, Shengxiao Zhao, Yanyan Lu, Xiaofeng Chen, Yan Zhao, Lei Liu. Ultra-Short-Term Forecasting Method for Photovoltaic Power Based on Singular Spectrum Decomposition and Double Attention Mechanism[J]. Laser & Optoelectronics Progress, 2023, 60(5): 0525001

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Paper Information

Category: OPTOELECTRONICS

Received: Dec. 24, 2021

Accepted: Feb. 25, 2022

Published Online: Mar. 6, 2023

The Author Email: Lei Liu (liulei13@ustc.edu.cn)

DOI:10.3788/LOP213335

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology