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A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

contributor authorHaque, Ashraf U.
contributor authorNehrir, M. Hashem
contributor authorMandal, P.
date accessioned2020-03-12T18:43:25Z
date available2020-03-12T18:43:25Z
date issued2014
identifier issn0885-8950
identifier other6727578.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/968169?show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting
typeJournal Paper
contenttypeMetadata Only
identifier padid8002249
subject keywordsART neural nets
subject keywordsfuzzy neural nets
subject keywordsoptimisation
subject keywordspattern classification
subject keywordspower engineering computing
subject keywordspower generation economics
subject keywordspower grids
subject keywordspower markets
subject keywordsprobability
subject keywordsregression analysis
subject keywordssupport vector machines
subject keywordswavelet transforms
subject keywordswind power plants
subject keywordsCedar Creek wind farm
subject keywordsFF optimization algorithm
subject keywordsdecision-making
subject keywordsdeterministic regression approach
subject keywordselectricity market participants
subject keywordsfirefly optimization algorithm
subject keywordsfuzzy ARTMAP network
subject keywordshybrid deterministic WT-FA-FF-SVM model
subject keywordshybrid intell
identifier doi10.1109/TPWRS.2014.2299801
journal titlePower Systems, IEEE Transactions on
journal volume29
journal issue4
filesize1286731
citations0


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