Laser Journal, Volume. 45, Issue 11, 193(2024)

Research on the technical path of digital-real integration to drive the high-quality development of the photovoltaic industry

HAN Jian1... YAN Lingjie2, ZHANG Fan2, WANG Yuxin1 and MAO Hanfeng2 |Show fewer author(s)
Author Affiliations
  • 1Institute of Chengdu-Chongqing Economic Zone, Chongqing Technology and Business University, Chongqing 400067, China
  • 2College of Economics, Chongqing Technology and Business University, Chongqing 400067, China
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    References(8)

    [4] [4] Abdelhak K, Razika I, Ali B, et al. Solar photovoltaic power prediction using artificial neural network and multiple regression considering ambient and operating conditions [J]. Energy Conversion and Management, 2023, 288.

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    [6] [6] Hugo V W, Nunes J M, Javier J L G, et al. Solar Irradiance Forecasting to Short-Term PV Power: Accuracy Comparison of ANN and LSTM Models [J]. Energies, 2022, 15 (7): 2457-2457.

    [8] [8] Diwaker P, Aanchal K, Prerna G . An Enhanced Drift-Free Perturb and Observe Maximum Power Point Tracking Method Using Hybrid Metaheuristic Algorithm for a Solar Photovoltaic Power System [J]. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2023, 48 (2): 759-779.

    [9] [9] Despoina K, P. I P, C. G C . Day-ahead photovoltaic power prediction based on a hybrid gradient descent and metaheuristic optimizer [J]. Sustainable Energy Technologies and Assessments, 2023, 57.

    [12] [12] Pankaj R, Satish H . Exploration of different maximum power point tracking techniques for photovoltaic system [J]. International Journal of Ambient Energy, 2023, 44 (1): 592-615.

    [13] [13] Abdelhakim L, Hossine E M D . Real-time monitoring of partial shading in large PV plants using Convolutional Neural Network [J]. Solar Energy, 2023, 253 428-438.

    [17] [17] Naveed M A, Saad M, Hazlie M, et al. An Hour-Ahead PV Power Forecasting Method Based on an RNN-LSTM Model for Three Different PV Plants [J]. Energies, 2022, 15 (6): 2243-2243.

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    HAN Jian, YAN Lingjie, ZHANG Fan, WANG Yuxin, MAO Hanfeng. Research on the technical path of digital-real integration to drive the high-quality development of the photovoltaic industry[J]. Laser Journal, 2024, 45(11): 193

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    Paper Information

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    Received: Feb. 12, 2024

    Accepted: Jan. 17, 2025

    Published Online: Jan. 17, 2025

    The Author Email:

    DOI:10.14016/j.cnki.jgzz.2024.11.193

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