Day‐ahead probabilistic wind power forecasting based on ranking and combining NWPs
Author:
Affiliation:
1. Department of EngineeringUniversity of Napoli Parthenope Naples Italy
2. Department of Electrical Engineering and Information TechnologiesUniversity of Napoli Federico II Naples Italy
Funder
Ministero dell’Istruzione, dell’Università e della Ricerca
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.12325
Reference29 articles.
1. Integrating renewables in electricity markets: operational problems;Morales JM;New York: Springer Science & Business Media,2014
2. Dynamic coordinated scheduling scheme for transmission and distribution system considering uncertainties of distributed generations
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4. Review on probabilistic forecasting of wind power generation
5. Reviews on uncertainty analysis of wind power forecasting
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3. Machine intelligent and deep learning techniques for large training data in short‐term wind speed and ramp event forecasting;International Transactions on Electrical Energy Systems;2021-02-11
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