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Expected Wind Speed Estimation Considering Spatio-Temporal Anisotropy for Generating Synthetic Wind Power Profiles

  • Published:2018-11 Issue: Volume:155 Page:309-319
  • ISSN:1876-6102
  • Container-title:Energy Procedia
  • language:en
  • Short-container-title:Energy Procedia

Author:

Hama Kouki,Fujimoto Yu,Hayashi Yasuhiro

Publisher

Elsevier BV

Reference14 articles.

1. "Control Methods for and Energy Storage System when Wind Power Output Deviates from Grid Code. ";Masakazu;Journal of International Council on Electrical Engineering,2017

2. "Reproducing Statistical Property of Short-Term Fluctuation in Wind Power Profiles. ";Seigo;Energy Procedia,2016

3. "Generating Synthetic Profiles of Onshore Wind Power for Power Flow Simulation on Power System. ";Yu;Journal of Energy Engineering,2017

4. Michael L. Stein. "Interpolation of Spatial Data-Some Theory for Kriging." Springer series in statistics,1999.

5. Noel Cressie and Christopher K. Wilke. "Statistics for Spatio-Temporal Data." Wiley, 2011.

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1. Energy Storage for Export Limitation Mitigation and Capacity Factor Enhancement in GB: A Case Study;2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG);2023-06-14

2. A Review of Uncertainty Modelling Techniques for Probabilistic Stability Analysis of Renewable-Rich Power Systems;Energies;2022-12-22

3. A Comprehensive Review of Sampling Techniques for Probabilistic Stability Analysis of Future Power Grids;2022 IEEE PES 14th Asia-Pacific Power and Energy Engineering Conference (APPEEC);2022-11-20

4. Wind Speed Prediction based on Spatio-Temporal Covariance Model Using Autoregressive Integrated Moving Average Regression Smoothing;International Journal of Pattern Recognition and Artificial Intelligence;2021-04-01

5. Spatio-Temporal Kriging Based Economic Dispatch Problem Including Wind Uncertainty;Energies;2020-12-04
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