Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11382
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dc.contributor.authorMehta, Kushal-
dc.date.accessioned2022-11-18T10:21:43Z-
dc.date.available2022-11-18T10:21:43Z-
dc.date.issued2022-06-01-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/11382-
dc.description.abstractIn the domain of Wind forecasting, Ultra Short term wind forecasting is one of the challenging and important part in the power generation as well as in the energy management system. The need of the ultra short wind forecasting in which, the wind is forecasted in the 10 minutes time stamp for the sake of the pitch and yaw control in the wind turbine to extract the maximum efficiency in the power generation. Here, the forecasting model named facebook prophet is implemented due to the its robustness in capturing the seasonality of the highly volatile wind speed. Performance evaluation metric like root mean square error(RMSE) is calculated for the model evaluation.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries20MEEE07;-
dc.subjectElectrical 2020en_US
dc.subjectProject Report 2020en_US
dc.subjectElectrical Project Reporten_US
dc.subjectProject Reporten_US
dc.subject20MEEen_US
dc.subject20MEEEen_US
dc.subject20MEEE07en_US
dc.subjectEPSen_US
dc.subjectEPS 2020en_US
dc.subjectEE (EPS)en_US
dc.subjectElectrical Power Systemsen_US
dc.titleUltra Short Term Wind Forecasting using Facebook Propheten_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, EE (EPS)

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