Model Estimation for Solar Generation Forecasting using Cloud Cover Data
Model Estimation for Solar Generation Forecasting using Cloud Cover Data
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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This paper presents a parametric model approach to address the problem of photovoltaic generation forecasting in a scenario where measurements of meteorological variables, i.e., solar irradiance and temperature, are not available at the plant site. This scenario is relevant to electricity network operation, when a large number of PV plants are depl...
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Model Estimation for Solar Generation Forecasting using Cloud Cover Data
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TN_cdi_proquest_journals_2170080272
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2170080272
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E-ISSN
2331-8422
DOI
10.48550/arxiv.1901.07525