A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids
journal contribution
posted on 2020-01-01, 00:00 authored by H Quan, Abbas KhosraviAbbas Khosravi, D Yang, D SrinivasanA Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids
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Journal
IEEE Transactions on Neural Networks and Learning SystemsVolume
31Pagination
4582-4599Location
Piscataway, N.J.ISSN
2162-237XeISSN
2162-2388Language
engPublication classification
C1 Refereed article in a scholarly journalIssue
11Publisher
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Science & TechnologyTechnologyComputer Science, Artificial IntelligenceComputer Science, Hardware & ArchitectureComputer Science, Theory & MethodsEngineering, Electrical & ElectronicComputer ScienceEngineeringUncertaintyWind power generationWind speedWind forecastingForecastingStochastic processesComputational intelligencedecision-makingneural network (NN)prediction interval (PI)uncertainty quantificationwind powerFUZZY-LOGIC SYSTEMSOPTIMAL PREDICTION INTERVALSCONSTRAINED UNIT COMMITMENTNEURAL-NETWORKROBUST OPTIMIZATIONSPINNING RESERVELOADENERGYFLOWGENERATION
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