Generation and evaluation of photovoltaic forecasts based on freely available weather data

Alexander Zeh, Christoph Hainzinger, Rolf Witzmann

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Photovoltaic forecasts are necessary in many fields of the energy industry. The rapid expansion of photovoltaic systems within the last years poses a growing problem especially for grid operators. New innovative concepts like smart storage solutions for reducing the grid load often need a generation forecast in order to be operated properly. In this work, a photovoltaic forecast based on only freely available cloud data is developed and compared to a commercially available one by evaluating their accuracy. Therefore, both forecasts are adapted to a 14 kWp photovoltaic system in Upper Bavaria, Germany. An Analysis of the results shows that both forecasts yield comparable results, but the one based on freely available data shows extreme inaccuracies in case of difficult prediction conditions like changeable cloud movement.

Original languageEnglish
Title of host publication2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021574
DOIs
StatePublished - 22 Jul 2016
Event2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016 - Dallas, United States
Duration: 3 May 20165 May 2016

Publication series

NameProceedings of the IEEE Power Engineering Society Transmission and Distribution Conference
Volume2016-July
ISSN (Print)2160-8555
ISSN (Electronic)2160-8563

Conference

Conference2016 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2016
Country/TerritoryUnited States
CityDallas
Period3/05/165/05/16

Keywords

  • forecast
  • photovoltaic forecast
  • weather forecast

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