Laser & Optoelectronics Progress, Volume. 62, Issue 5, 0525001(2025)

Power Prediction of Ultra-Short-Term Photovoltaic Power Generation Based on Multi-Feature Fusion

Pengfa Zang1、*, Keqi Wang1, Zhongwei Zhang2, Zhongyang Zhao1, Longchao Yao1, Weiguo Weng3, Xuecheng Wu1, Chenghang Zheng1,3, and Xiang Gao1,3
Author Affiliations
  • 1State Key Laboratory of Clean Energy Utilization, Zhejiang University, Hangzhou 310027, Zhejiang , China
  • 2Dongfang Electric Yangtze River Delta (Hangzhou) Innovation Research Institute Co., Ltd., Hangzhou 310019, Zhejiang , China
  • 3Jiaxing Research Institute, Zhejiang University, Jiaxing 314001, Zhejiang , China
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    References(24)

    [3] Shu S, Xie Y M, Yang W Y et al. A review of photovoltaic power generation forecasting methods[J]. Journal of Engineering for Thermal Energy and Power, 35, 1-11(2020).

    [6] Tan L, Kang R X, Xia J M et al. A photovoltaic power prediction model integrating multi-source heterogeneous meteorological data[J]. Journal of Electronics & Information Technology, 46, 503-517(2024).

    [8] Ma Y, Zhang X M, Zhen Z et al. Ultra-short-term photovoltaic power prediction method based on modified clear-sky model[J]. Automation of Electric Power Systems, 45, 44-51(2021).

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    [11] Zhou H J, Yang J W, Wang Z et al. Research on ultra-short term prediction model of photovoltaic power generation based on LSTM[J]. Chinese Journal of Power Sources, 47, 785-789(2023).

    [13] Zhang H T, Li W J, Li X F et al. Photovoltaic power forecasting based on TPA-TCN model and variationamodal decomposition[J]. Electrical Measurement and Instrumentation, 61, 156-163(2024).

    [14] Zhang Y J, Zhou H X. Short-term photovoltaic power forecast based on Stacking-SVM[J]. Journal of China University of Metrology, 29, 121-127(2018).

    [15] Dong X, Zhao S X, Lu Y Y et al. Ultra-short-term forecasting method for photovoltaic power based on singular spectrum decomposition and double attention mechanism[J]. Laser & Optoelectronics Progress, 60, 0525001(2023).

    [20] Ge J X, Cai G W, Jiang L et al. Method for distributed photovoltaic short-term power prediction based on weather change adaptive fractal and matching[J]. Laser & Optoelectronics Progress, 61, 1520001(2024).

    [21] Chen Y F, Ma X Y, Cheng K et al. Ultra-short-term power forecast of new energy based on meteorological feature selection and svm model parameter optimization[J]. Acta Energiae Solaris Sinica, 44, 568-576(2023).

    [23] Su H Y, Wang R R, Zhang Y et al. Photovoltaic power prediction fusion algorithm based on improved feature selection[J]. Experiment Science and Technology, 21, 1-9(2023).

    [24] Guan Z Q, Dai W, Chen X P et al. Mechanism, characterization, and device application of photothermoelectric effect[J]. Chinese Journal of Lasers, 50, 0113004(2023).

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    Pengfa Zang, Keqi Wang, Zhongwei Zhang, Zhongyang Zhao, Longchao Yao, Weiguo Weng, Xuecheng Wu, Chenghang Zheng, Xiang Gao. Power Prediction of Ultra-Short-Term Photovoltaic Power Generation Based on Multi-Feature Fusion[J]. Laser & Optoelectronics Progress, 2025, 62(5): 0525001

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    Paper Information

    Category: OPTOELECTRONICS

    Received: May. 30, 2024

    Accepted: Aug. 7, 2024

    Published Online: Mar. 14, 2025

    The Author Email:

    DOI:10.3788/LOP241387

    CSTR:32186.14.LOP241387

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