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dc.contributor.authorTarai, R K-
dc.contributor.authorKale, P-
dc.identifier.citationInternational Conference on Green Energy Technology (ICGET 2016), Kuala Lumpur of Malaysia, 25-27 July 2016en_US
dc.descriptionCopyright belongs to the proceeding publisheren_US
dc.description.abstractThe decision to install a PV plant depends on three major factors: the climatic and environment conditions of the location, the viability of commercial operations, and the government policies. Economic feasibility of a PV system in the energy market is largely driven by the cost of technology, the cost of installation, and the yield of the plant. Considering uncertain nature of geographical parameters (solar radiation, temperature, dust accumulation, etc.), development of a reliable model to predict the energy output of a plant-to-be installed becomes essential. The model ensures the long-term performance criteria of the PV system. The proposed model considers a case study of Odisha by taking only two meteorological variables collected from 1195 locations: total annual incident global radiation on the PV module and annual average air temperature. The developed model is independent of longitude and latitude, elevation, and other environment conditions. Model is validated using the data collected from SN Mohanty solar power plant situated at Cuttack. The paper focuses on simplification at every stage of the development while validating the preciseness of the modelen_US
dc.subjectSolar PV productionen_US
dc.subjectPredictive Modelen_US
dc.titleValidation of Predictive Models to Estimate Annual PV Production: A case study of Odishaen_US
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