Improving wind power modelling through granular spatial and temporal bias correction of reanalysis data

被引:0
|
作者
Benmoufok, Ellyess F. [1 ]
Warder, Simon C. [1 ]
Zhu, Elizabeth [1 ]
Bhaskaran, B. [3 ]
Staffell, Iain [2 ]
Piggott, Matthew D. [1 ]
机构
[1] Department of Earth Science and Engineering, Imperial College London, London,SW7 2AZ, United Kingdom
[2] Centre for Environmental Policy, Imperial College London, London,SW7 1NE, United Kingdom
[3] Shell Research Ltd, Shell Centre, London,SE1 7NA, United Kingdom
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1016/j.energy.2024.133759
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Spatial clustering for temporal power ramp balance and wind power estimation
    Yildirim, Nurseda
    Uzunoglu, Bahri
    2015 SEVENTH ANNUAL IEEE GREEN TECHNOLOGIES CONFERENCE (GREENTECH), 2015, : 214 - 220
  • [22] Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas
    Victoria M. Garibay
    Margaret W. Gitau
    Nicholas Kiggundu
    Daniel Moriasi
    Fulgence Mishili
    Water Resources Management, 2021, 35 : 1587 - 1602
  • [23] Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas
    Garibay, Victoria M.
    Gitau, Margaret W.
    Kiggundu, Nicholas
    Moriasi, Daniel
    Mishili, Fulgence
    WATER RESOURCES MANAGEMENT, 2021, 35 (05) : 1587 - 1602
  • [24] Developing a wind and solar power data model for Europe with high spatial-temporal resolution
    Graabak, Ingeborg
    Svendsen, Harald
    Korpas, Magnus
    2016 51ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2016,
  • [25] Spatial and temporal demand side management for optimal power transmission through power system with dispersed PV and wind power plants
    Kotur, Dimitrije
    Durisic, Zeljko
    Savic, Aleksandar
    ELECTRIC POWER SYSTEMS RESEARCH, 2019, 175
  • [26] Simulating European wind power generation applying statistical downscaling to reanalysis data
    Gonzalez-Aparicio, I.
    Monforti, F.
    Volker, P.
    Zucker, A.
    Careri, F.
    Huld, T.
    Badger, J.
    APPLIED ENERGY, 2017, 199 : 155 - 168
  • [27] Offshore Wind Power Outputs in Multiple Temporal and Spatial Scales
    Ye, Yida
    Qiao, Ying
    Lu, Zongxiang
    Zhang, Jun
    Li, Yingyi
    Guo, Feng
    Huang, Jing
    2014 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2014,
  • [28] Reanalysis and Ground Station data: Advanced data preprocessing in deep learning for wind power prediction
    Ding, Jun-Wei
    Chuang, Ming-Ju
    Tseng, Jing-Siou
    Hsieh, I-Yun Lisa
    APPLIED ENERGY, 2024, 375
  • [29] Correction to: Wind Power Deployment and the Impact of Spatial Planning Policies
    Jan-Niklas Meier
    Paul Lehmann
    Bernd Süssmuth
    Stephan Wedekind
    Environmental and Resource Economics, 2024, 87 (2) : 551 - 552
  • [30] Toward the reliable use of reanalysis data as a reference for bias correction in climate models: A multivariate perspective
    de Padua, Victor Mikael N.
    Ahn, Kuk-Hyun
    Journal of Hydrology, 2024, 644