Update on IEA wind's recommended practices for renewable power forecast solution selection: recommendations for wind facility meteorological measurements for forecasting applications

John W. Zack, Corinna Mohrlen, Gregor Giebel

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

A 3-part document series entitled “Recommended Practices for Selecting Renewable Power Forecasting Solutions” (RP-FSS) was compiled through a collaboration of an international group of experts under Task 36 of the IEA Wind Technology Collaboration Programme (IEA Wind TCP). The ultimate objective of the RP is to assist the forecast users in the selection of an optimal forecast solution for their specific set of applications. The need for the RP was based on considerable evidence that even though renewable energy forecasts are now widely employed for operational decisionmaking the full potential value of the forecasts is frequently not realized for many applications. The group initially identified three key contributing factors: (1) the specification of the wrong forecast performance objectives in the forecast solution selection process, (2) the use of poorly designed benchmarks or trials to select a forecast solution for the user's application and (3) the use of non-optimal evaluation metrics to assess the performance of candidates or existing forecast solutions.
Original languageEnglish
Title of host publicationProceedings of 20th International Workshop on Large-Scale Integration of Wind Power into Power Systems as well as on Transmission Networks for Offshore Wind Power Plants (WIW 2021)
Number of pages4
PublisherInstitution of Engineering and Technology
Publication date2022
Pages90-93
ISBN (Electronic)978-1-83953-681-6
DOIs
Publication statusPublished - 2022
Event20th Wind Integration Workshop 2021 - Virtual event, Berlin, Germany
Duration: 29 Sept 202130 Sept 2021

Workshop

Workshop20th Wind Integration Workshop 2021
LocationVirtual event
Country/TerritoryGermany
CityBerlin
Period29/09/202130/09/2021

Keywords

  • Forecast solution selection
  • Meteorological sensors
  • Meteorological data quality control
  • Data communication

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