Probabilistic upscaling and aggregation of wind power forecasts

被引：0
|
作者：
Janosch Henze
Malte Siefert
Sascha Bremicker-Trübelhorn
Nazgul Asanalieva
Bernhard Sick
机构：
[1] University of Kassel,
[2] Fraunhofer Institute for Energy Economics and Energy System Technology,undefined
来源：
Energy, Sustainability and Society | / 10卷
关键词：
Probabilistic wind power forecasting; Copula; Upscaling; Regional forecasting; Renewable energy;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Geostrophic Wind Dependent Probabilistic Irradiance Forecasts for Coastal California
    Mathiesen, Patrick
    Brown, John M.
    Kleissl, Jan
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (02) : 510 - 518
  • [32] Incorporating Spatial and Temporal Correlations to Improve Aggregation of Decentralized Day-Ahead Wind Power Forecasts
    Mararakanye, Ndamulelo
    Dalton, Amaris
    Bekker, Bernard
    IEEE ACCESS, 2022, 10 : 116182 - 116195
  • [33] Influence of Wind Power Forecasts on Equitable Distribution Method of Wind Power Curtailment
    Iioka, Daisuke
    Saitoh, Hiroumi
    2018 INTERNATIONAL POWER ELECTRONICS CONFERENCE (IPEC-NIIGATA 2018 -ECCE ASIA), 2018, : 2278 - 2282
  • [34] Online Aggregation of Probabilistic Forecasts Based on the Continuous Ranked Probability Score
    V. V. V’yugin
    V. G. Trunov
    Journal of Communications Technology and Electronics, 2020, 65 : 662 - 676
  • [35] Coalitional Aggregation of Wind Power
    Baeyens, Enrique
    Bitar, Eilyan Y.
    Khargonekar, Pramod P.
    Poolla, Kameshwar
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (04) : 3774 - 3784
  • [36] Wind forecasts for wind power generation using the Eta model
    Lazic, Lazar
    Pejanovic, Goran
    Zivkovic, Momcilo
    RENEWABLE ENERGY, 2010, 35 (06) : 1236 - 1243
  • [37] Online Aggregation of Probabilistic Forecasts Based on the Continuous Ranked Probability Score
    V'yugin, V. V.
    Trunov, V. G.
    JOURNAL OF COMMUNICATIONS TECHNOLOGY AND ELECTRONICS, 2020, 65 (06) : 662 - 676
  • [38] Reconciliation of wind power forecasts in spatial hierarchies
    Hansen, Mads E.
    Peter, Nystrup
    Moller, Jan K.
    Henrik, Madsen
    WIND ENERGY, 2023, 26 (06) : 615 - 632
  • [39] Trading wind energy on the basis of probabilistic forecasts both of wind generation and of market quantities
    Zugno, M.
    Jonsson, T.
    Pinson, P.
    WIND ENERGY, 2013, 16 (06) : 909 - 926
  • [40] Evaluation of wind farm aggregation using probabilistic clustering algorithms for power system stability assessment
    Rahman, MirToufikur
    Hasan, Kazi
    Sokolowski, Peter
    SUSTAINABLE ENERGY GRIDS & NETWORKS, 2022, 30
12345