{"title":"采用改进的黄金搜索优化算法优化的埃尔曼神经网络，用于混合可再生能源系统的优化设计","authors":"Suxia Chen, Jiachen Zhang, Guijie Zhang, Homayoun Ebrahimian","doi":"10.1080/15567036.2024.2375740","DOIUrl":null,"url":null,"abstract":"Hybrid renewable energy systems (HRESs) could offer a promising solution to the challenges of providing a dependable, economical and sustainable energy’s source. The integration of these technologi...","PeriodicalId":11563,"journal":{"name":"Energy Sources Part A-recovery Utilization and Environmental Effects","volume":"16 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elman neural network optimized by improved golden search optimization algorithm for optimal designing of the hybrid renewable energy systems\",\"authors\":\"Suxia Chen, Jiachen Zhang, Guijie Zhang, Homayoun Ebrahimian\",\"doi\":\"10.1080/15567036.2024.2375740\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hybrid renewable energy systems (HRESs) could offer a promising solution to the challenges of providing a dependable, economical and sustainable energy’s source. The integration of these technologi...\",\"PeriodicalId\":11563,\"journal\":{\"name\":\"Energy Sources Part A-recovery Utilization and Environmental Effects\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-07-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Energy Sources Part A-recovery Utilization and Environmental Effects\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15567036.2024.2375740\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Sources Part A-recovery Utilization and Environmental Effects","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15567036.2024.2375740","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Elman neural network optimized by improved golden search optimization algorithm for optimal designing of the hybrid renewable energy systems
Hybrid renewable energy systems (HRESs) could offer a promising solution to the challenges of providing a dependable, economical and sustainable energy’s source. The integration of these technologi...
期刊介绍：
Energy Sources Part A: Recovery, Utilization, and Environmental Effects aims to investigate resolutions for the continuing increase in worldwide demand for energy, the diminishing accessibility of natural energy resources, and the growing impact of energy use on the environment.
You are invited to submit manuscripts that explore the technological, scientific and environmental aspects of:
Coal energy sources
Geothermal energy sources
Natural gas
Nuclear energy sources
Oil shale energy sources
Organic waste from energy use
Petroleum
Solar energy sources
Tar utilization
Sand utilization
Wind energy.
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