Please use this identifier to cite or link to this item:
Title: A Hybrid Short-term Solar Power Forecasting Tool
Authors: Jorge Miguel Filipe
Ricardo Jorge Bessa
Jean Sumaili
Issue Date: 2015
Abstract: Photovoltaic (PV) solar power capacity is growing in several countries, either concentrated in medium/large size solar parks or distributed by the medium and low voltage grid. Solar power forecasting is a key input for supporting grid management, participation in the electricity market and maintenance planning. This paper proposes a new forecasting system that is a hybrid of different models, such as electrical and statistical models, as well as different Numerical Weather Prediction (NWP) sources. The time horizon is 48 hours ahead. The proposed model was operationalized and tested in a real PV installation located in North Portugal with 16 kW.
metadata.dc.type: conferenceObject
Appears in Collections:CPES - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-00K-ATD.pdf915.64 kBAdobe PDFView/Open

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