A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids

Quan, H, Khosravi, Abbas, Yang, D and Srinivasan, D 2020, A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 11, pp. 4582-4599, doi: 10.1109/TNNLS.2019.2956195.

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Title A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids
Author(s) Quan, H
Khosravi, AbbasORCID iD for Khosravi, Abbas orcid.org/0000-0001-6927-0744
Yang, D
Srinivasan, D
Journal name IEEE Transactions on Neural Networks and Learning Systems
Volume number 31
Issue number 11
Start page 4582
End page 4599
Total pages 18
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2162-237X
2162-2388
Keyword(s) Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science, Hardware & Architecture
Computer Science, Theory & Methods
Engineering, Electrical & Electronic
Computer Science
Engineering
Uncertainty
Wind power generation
Wind speed
Wind forecasting
Forecasting
Stochastic processes
Computational intelligence
decision-making
neural network (NN)
prediction interval (PI)
uncertainty quantification
wind power
FUZZY-LOGIC SYSTEMS
OPTIMAL PREDICTION INTERVALS
CONSTRAINED UNIT COMMITMENT
NEURAL-NETWORK
ROBUST OPTIMIZATION
SPINNING RESERVE
LOAD
ENERGY
FLOW
GENERATION
Language eng
DOI 10.1109/TNNLS.2019.2956195
Indigenous content off
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30145297

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