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Making reference solar forecasts with climatology, persistence, and their optimal convex combination

  • Agency for Science, Technology and Research, Singapore

Research output: Contribution to journalArticlepeer-review

Abstract

Climatology and persistence are the two most popular naïve reference methods for benchmarking deterministic solar forecasts. Depending on the forecast horizon, the preferred reference methods differ. This brief note derives the general relationship among climatology, persistence, and their optimal convex combination. The value of the lag-h autocorrelation is shown to be the main indicator of choice for the standard of reference.

Original languageEnglish
Pages (from-to)981-985
Number of pages5
JournalSolar Energy
Volume193
DOIs
StatePublished - 15 Nov 2019
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Climatology
  • Persistence
  • Skill score
  • Solar forecasting

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