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Synthetic Generation of Hourly Solar Irradiance Using a Multi-State Markov Model

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dc.contributor.author Chamola, Vinay
dc.date.accessioned 2023-03-17T04:31:35Z
dc.date.available 2023-03-17T04:31:35Z
dc.date.issued 2015-01
dc.identifier.uri https://www.ece.nus.edu.sg/stfpage/bsikdar/papers/iceic_15.pdf
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9803
dc.description.abstract Solar irradiance data is a key factor in dimensioning photovoltaic (PV) panel size and energy storage for solar powered systems. Unfortunately, long term solar irradiance data is not available for many locations, thereby affecting the accuracy and effectiveness of dimensioning efforts. To address this issue, this paper presents a model for generating accurate, synthetic traces of arbitrary length for hourly solar irradiance. The proposed model is based on an approach that combines daily correlations in weather conditions affecting the solar irradiance with finer-grained, hourly transitions in solar irradiance levels. The proposed model has been evaluated by comparing various statistical parameters of hourly solar irradiance against real data. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject EEE en_US
dc.subject Solar Irradiance en_US
dc.subject Photovoltaic (PV) en_US
dc.title Synthetic Generation of Hourly Solar Irradiance Using a Multi-State Markov Model en_US
dc.type Article en_US


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