A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data-Reference-Cited by-同舟云学术

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A review of short‐term wind power probabilistic forecasting and a taxonomy focused on input data

Published:2021-11-11 Issue:1 Volume:16 Page:77-91
ISSN:1752-1416
Container-title:IET Renewable Power Generation
language:en
Short-container-title:IET Renewable Power Gen

Author:

Bazionis Ioannis K.¹,Karafotis Panagiotis A.¹,Georgilakis Pavlos S.¹^ORCID

Affiliation:

1. School of Electrical and Computer Engineering National Technical University of Athens Athens Greece

Publisher

Institution of Engineering and Technology (IET)

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/rpg2.12330

Reference76 articles.

1. Technical challenges associated with the integration of wind power into power systems

2. 2020 WindEurope Wind energy in Europe –2020 statistics and the outlook for 2021‐2025

3. Impact of wind power forecasting error bias on the economic operation of autonomous power systems

4. Trading Wind Generation From Short-Term Probabilistic Forecasts of Wind Power

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