Normalizing flow-based day-ahead wind power scenario generation for profitable and reliable delivery commitments by wind farm operators

被引：0
|
作者：
Cramer, Eike [1 ,2 ]
Paeleke, Leonard [1 ,3 ]
Mitsos, Alexander [1 ,4 ,5 ]
Dahmen, Manuel [1 ]
机构：
[1] Forschungszentrum Jülich GmbH, Institute of Energy and Climate Research - Energy Systems Engineering (IEK-10), Jülich,52428, Germany
[2] RWTH Aachen University, Aachen,52062, Germany
[3] Technical University of Berlin, Berlin,10623, Germany
[4] JARA Center for Simulation and Data Sciences, Jülich,52425, Germany
[5] RWTH Aachen University, Process Systems Engineering (AVT.SVT), Aachen,52074, Germany
来源：
Computers and Chemical Engineering | 2022年 / 166卷
关键词：
All Open Access; Green;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
64
引用
收藏
相关论文
共 50 条
  • [21] Day-Ahead Offering Strategy for a Wind Power Producer Based on Robust Optimization
    Zhao H.
    Gao J.
    Wang Y.
    Guo S.
    Dianwang Jishu/Power System Technology, 2018, 42 (04): : 1177 - 1182
  • [22] On Day-ahead Scheduling Based on Chance Constrained with Significant Wind Power Penetration
    Zhang, Xinsong
    Mao, Jingfeng
    2015 5TH INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES (DRPT 2015), 2015, : 632 - 637
  • [23] Day-Ahead Wind Power Forecasting in Poland Based on Numerical Weather Prediction
    Bochenek, Bogdan
    Jurasz, Jakub
    Jaczewski, Adam
    Stachura, Gabriel
    Sekula, Piotr
    Strzyzewski, Tomasz
    Wdowikowski, Marcin
    Figurski, Mariusz
    ENERGIES, 2021, 14 (08)
  • [24] Day-ahead probabilistic wind power forecasting based on ranking and combining NWPs
    Bracale, Antonio
    Caramia, Pierluigi
    Carpinelli, Guido
    De Falco, Pasquale
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2020, 30 (07):
  • [25] Time-coupled day-ahead wind power scenario generation: A combined regular vine copula and variance reduction method
    Krishna, Attoti Bharath
    Abhyankar, Abhijit R.
    ENERGY, 2023, 265
  • [26] Day-ahead and intra-day wind power forecasting based on feedback error correction
    Gupta, Akshita
    Kumar, Arun
    Boopathi, Kadhirvel
    IET RENEWABLE POWER GENERATION, 2021, 15 (13) : 2840 - 2848
  • [27] Coordinated Day-Ahead Optimal Dispatch Considering Wind Power Consumption and the Benefits of Power Generation Group
    Ma X.
    Wang G.
    Zhu S.
    Yu S.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36 (03): : 579 - 587
  • [28] Optimal coordinated generation scheduling considering day-ahead PV and wind power forecast uncertainty
    Admasie, Samuel
    Song, Jin-Sol
    Kim, Chul-Hwan
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (11) : 2545 - 2562
  • [29] Long term impact of wind power generation in the Iberian day-ahead electricity market price
    Pereira, Adelino J. C.
    Saraiva, Joao Tome
    ENERGY, 2013, 55 : 1159 - 1171
  • [30] Stochastic Day-Ahead Generation Scheduling With Pumped-Storage Stations and Wind Power Integrated
    Zheng, J. H.
    Quan, X. Y.
    Jing, Z. X.
    Wu, Q. H.
    2016 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2016,
12345