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Ultra-Short-Term Multi-Step Photovoltaic Power Forecasting Based on Similarity-Based Daily Clustering.

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Title: Ultra-Short-Term Multi-Step Photovoltaic Power Forecasting Based on Similarity-Based Daily Clustering.
Authors: Jin, Yongcheng1 (AUTHOR), Sun, Zhichao2 (AUTHOR), Lv, Dongliang1,2 (AUTHOR), Gao, Weicheng2 (AUTHOR), Liu, Fengze2 (AUTHOR), Yu, Qinghua1 (AUTHOR) qhyu@whut.edu.cn
Source: Energies (19961073). Jan2026, Vol. 19 Issue 1, p29. 24p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. Jan2026, Vol. 19 Issue 1, p29. 24p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=190785175
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        Value: 10.3390/en19010029
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        Text: English
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      – TitleFull: Ultra-Short-Term Multi-Step Photovoltaic Power Forecasting Based on Similarity-Based Daily Clustering.
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              Text: Jan2026
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              Y: 2026
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