• 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