Research on ultra-short term prediction model of photovoltaic power generation based on LSTM

ZHOU Haojie; YANG Jianwei; WANG Zun; HU Lei; CAO Shenglei

doi:10.3969/j.issn.1002-087X.2023.06.021

ZHOU Haojie, YANG Jianwei, WANG Zun, HU Lei, CAO Shenglei

Chinese Journal of Power Sources ›› 2023, Vol. 47 ›› Issue (6) : 785-789.

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Chinese Journal of Power Sources ›› 2023, Vol. 47 ›› Issue (6) : 785-789. DOI: 10.3969/j.issn.1002-087X.2023.06.021

Research and design: Physical power sources

Research on ultra-short term prediction model of photovoltaic power generation based on LSTM

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{{article.zuoZheEn_L}}. {{article.title_en}}[J]. {{journal.qiKanMingCheng_EN}}, 2023, 47(6): 785-789 https://doi.org/10.3969/j.issn.1002-087X.2023.06.021

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Received	Published
2022-11-13	2023-06-20
Issue Date
2024-10-15

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