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Short-range forecasting for energy

    • National Center for Atmospheric Research

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    6 Scopus citations

    Abstract

    Short-range forecasts for periods on the order of hours to days and up to two weeks ahead are necessary to smoothly run transmission and distribution systems, plan maintenance, protect infrastructure and allocate units. In particular, forecasting the renewable energy resources on a day-to-day basis enables integration of increasing capacities of these variable resources. This chapter describes the basics of this short-range forecasting, beginning with the observation-based "nowcasting" of the first 15 minutes and ranging up to two weeks using numerical weather prediction. We discuss how blending multiple forecasts can increase accuracy and how probabilistic forecasts are being used to quantify the forecast uncertainty.

    Original languageEnglish
    Title of host publicationWeather and Climate Services for the Energy Industry
    PublisherSpringer International Publishing
    Pages97-107
    Number of pages11
    ISBN (Electronic)9783319684185
    ISBN (Print)9783319684178
    DOIs
    StatePublished - Jan 3 2018

    Keywords

    • Analog ensemble
    • DICast
    • Forecast blending
    • Nowcasting
    • Numerical weather prediction
    • Probabilistic forecasts
    • Renewable energy
    • Solar power forecasts
    • Wind power forecasts

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