{"title":"用合同热交换优化器优化的转子跳场神经网络模型推进城市水能需求预测","authors":"Ziming Zhao, Milad Teimourian","doi":"10.1080/15567036.2024.2357243","DOIUrl":null,"url":null,"abstract":"The relationship between urban water and energy demand is crucial for resource efficiency, sustainability, and environmental conservation. Rapid urbanization, population growth, and climate change ...","PeriodicalId":11563,"journal":{"name":"Energy Sources Part A-recovery Utilization and Environmental Effects","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2024-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing urban water-energy demand predictions with a rotor hopfield neural network model optimized by contracted thermal exchange optimizer\",\"authors\":\"Ziming Zhao, Milad Teimourian\",\"doi\":\"10.1080/15567036.2024.2357243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The relationship between urban water and energy demand is crucial for resource efficiency, sustainability, and environmental conservation. Rapid urbanization, population growth, and climate change ...\",\"PeriodicalId\":11563,\"journal\":{\"name\":\"Energy Sources Part A-recovery Utilization and Environmental Effects\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-05-25\",\"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/10.1080/15567036.2024.2357243\",\"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/10.1080/15567036.2024.2357243","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}
Advancing urban water-energy demand predictions with a rotor hopfield neural network model optimized by contracted thermal exchange optimizer
The relationship between urban water and energy demand is crucial for resource efficiency, sustainability, and environmental conservation. Rapid urbanization, population growth, and climate change ...
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
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Natural gas
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Oil shale energy sources
Organic waste from energy use
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Wind energy.
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