DocumentCode :
743124
Title :
Day-Ahead Power Output Forecasting for Small-Scale Solar Photovoltaic Electricity Generators
Author :
Yue Zhang ; Beaudin, Marc ; Taheri, Raouf ; Zareipour, Hamidreza ; Wood, David
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Calgary, Calgary, AB, Canada
Volume :
6
Issue :
5
fYear :
2015
Firstpage :
2253
Lastpage :
2262
Abstract :
Because of the rapid growth of small-scale solar electricity generation over the past few years, forecasting solar power output is becoming more important. However, changes in weather conditions cause solar power generation to be highly volatile. This paper analyses the challenges of solar power forecasting and then presents a similar day-based forecasting tool to do 24-h-ahead forecasting for small-scale solar power output forecasting.
Keywords :
load forecasting; photovoltaic power systems; day-ahead power output forecasting; small-scale solar photovoltaic electricity generators; small-scale solar power output forecasting; solar power forecasting; Clouds; Electricity; Engines; Forecasting; Predictive models; Weather forecasting; Forecasting; prediction; similar day; solar power;
fLanguage :
English
Journal_Title :
Smart Grid, IEEE Transactions on
Publisher :
ieee
ISSN :
1949-3053
Type :
jour
DOI :
10.1109/TSG.2015.2397003
Filename :
7052358
Link To Document :
بازگشت