Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting
Version 2 2024-06-04, 02:23
Version 1 2021-03-22, 09:49
journal contribution
posted on 2024-06-04, 02:23 authored by SMJ Jalali, S Ahmadian, M Khodayar, Abbas KhosraviAbbas Khosravi, V Ghasemi, M Shafie-khah, S Nahavandi, JPS CatalãoTowards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting
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Journal
Engineering with ComputersVolume
38Pagination
1 - 25Location
Berlin, GermanyPublisher DOI
ISSN
0177-0667eISSN
1435-5663Language
EnglishPublication classification
C1 Refereed article in a scholarly journalIssue
S3Publisher
SPRINGERUsage metrics
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Keywords
Science & TechnologyTechnologyComputer Science, Interdisciplinary ApplicationsEngineering, MechanicalComputer ScienceEngineeringWind speed forecastingDeep neuroevolutionLong short-term memoryEnhanced grasshopper optimization algorithmEMPIRICAL WAVELET TRANSFORMMOTH-FLAME OPTIMIZERNEURAL-NETWORKAUTOREGRESSIVE MODELSELECTRICITY PRICEFEATURE-SELECTIONBELIEF NETWORKPREDICTIONALGORITHMSTRATEGY4901 Applied mathematics
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