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Probabilistic upscaling and aggregation of wind power forecasts

Bibliographic Data

ID22019795
AuthorsJanosch Henze (0000-0002-8852-0806, University of Kassel, corresponding author), Malte Siefert (Fraunhofer Institute for Energy Economics and Energy System Technology), Sascha Bremicker-Trübelhorn, Sascha Bremicker‐Trübelhorn (Fraunhofer Institute for Energy Economics and Energy System Technology), Nazgul Asanalieva (Fraunhofer Institute for Energy Economics and Energy System Technology), Bernhard Sick (0000-0001-9467-656X, University of Kassel)
Year2020
Volume10
Issue1
Publication date2020-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnergy Sustainability and Society (JOURNAL)
Journal identifiersISSN: 2192-0567 • E-ISSN: 2192-0567
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1186/s13705-020-00247-4
OpenAlexW3026274769
LanguageEN
Citations received1
References cited24

Econometrics · Electric power system · Geography · Joint probability distribution · Meteorology · Probabilistic forecasting · Probabilistic logic · Probability distribution · Statistics · Wind power · Wind power forecasting · Wind speed · Computer Science · Energy Load and Power Forecasting · Engineering · Environmental Science · Mathematics · Meteorological Phenomena and Simulations · Wind Energy Research and Development

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Unique citing works1
Citations per year0,17
Citation span2020 - 2020 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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