Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/11382
Title: Ultra Short Term Wind Forecasting using Facebook Prophet
Authors: Mehta, Kushal
Keywords: Electrical 2020
Project Report 2020
Electrical Project Report
Project Report
20MEE
20MEEE
20MEEE07
EPS
EPS 2020
EE (EPS)
Electrical Power Systems
Issue Date: 1-Jun-2022
Publisher: Institute of Technology
Series/Report no.: 20MEEE07;
Abstract: In 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.
URI: http://10.1.7.192:80/jspui/handle/123456789/11382
Appears in Collections:Dissertation, EE (EPS)

Files in This Item:
File Description SizeFormat 
20MEEE07.pdf20MEEE072.05 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.