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Short-term Global Horizontal Irradiance Prediction Based on Deep Echo State Network

Journal of physics. Conference series, 2022-01, Vol.2171 (1), p.12028 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2171/1/012028

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  • Title:
    Short-term Global Horizontal Irradiance Prediction Based on Deep Echo State Network
  • Author: Ma, Gaohong ; Li, Jun
  • Subjects: Impact analysis ; Irradiance ; Photovoltaic cells
  • Is Part Of: Journal of physics. Conference series, 2022-01, Vol.2171 (1), p.12028
  • Description: Abstract The prediction of global horizontal irradiance have a great impact on the stability and economic benefits of photovoltaic (PV) power generation. In this paper, we adopt the method of Deep Echo State Network (DESN) to predict the global horizontal irradiance in different areas one hour in advance. Under the same conditions, the results show that DESN are better than BP, SVM, ESN methods in the prediction accuracy. Experiments show that the proposed models show superior ability in predicting solar irradiance and have great application potential in power grid integration.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/2171/1/012028
  • Source: IOP Publishing Free Content
    IOPscience (Open Access)
    GFMER Free Medical Journals
    ProQuest Central
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