S. M. Ali, Z. Ullah, I. Khan, M. Sarwar, B. Khan, U. Farid, C. A. Mehmood, M. Jawad
{"title":"环境与消费者生物动力对能源消费的相互影响","authors":"S. M. Ali, Z. Ullah, I. Khan, M. Sarwar, B. Khan, U. Farid, C. A. Mehmood, M. Jawad","doi":"10.1109/iCoMET48670.2020.9074117","DOIUrl":null,"url":null,"abstract":"Modeling Energy Consumption (EC) system based on environmental drifts, consumer psychology, and consumer body dynamics is a demanding task. No prior works have modeled EC system with respect to the above features. The use of an optimized, intelligent, and accurate model with all above inputs will help electric grid policymakers for (a) lowering energy cost (b) accurate predicted and forecasted energy models, and (c) optimized energy utilization, and (d) increased consumer empowerment with pollutants free atmosphere. Considering the above motivation, we discussed in-depth various promising features of the environment, climate, and weather shaping the energy demand of consumers. Our work describes detailed taxonomies of the above parameters with their respective trends and inter-relationship to each other. We investigated critically the mutual effects of surroundings and consumers.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mutual Interactive Effects of Environment and Consumer Biological Dynamics on Energy Consumption\",\"authors\":\"S. M. Ali, Z. Ullah, I. Khan, M. Sarwar, B. Khan, U. Farid, C. A. Mehmood, M. Jawad\",\"doi\":\"10.1109/iCoMET48670.2020.9074117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modeling Energy Consumption (EC) system based on environmental drifts, consumer psychology, and consumer body dynamics is a demanding task. No prior works have modeled EC system with respect to the above features. The use of an optimized, intelligent, and accurate model with all above inputs will help electric grid policymakers for (a) lowering energy cost (b) accurate predicted and forecasted energy models, and (c) optimized energy utilization, and (d) increased consumer empowerment with pollutants free atmosphere. Considering the above motivation, we discussed in-depth various promising features of the environment, climate, and weather shaping the energy demand of consumers. Our work describes detailed taxonomies of the above parameters with their respective trends and inter-relationship to each other. We investigated critically the mutual effects of surroundings and consumers.\",\"PeriodicalId\":431051,\"journal\":{\"name\":\"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iCoMET48670.2020.9074117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iCoMET48670.2020.9074117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Mutual Interactive Effects of Environment and Consumer Biological Dynamics on Energy Consumption
Modeling Energy Consumption (EC) system based on environmental drifts, consumer psychology, and consumer body dynamics is a demanding task. No prior works have modeled EC system with respect to the above features. The use of an optimized, intelligent, and accurate model with all above inputs will help electric grid policymakers for (a) lowering energy cost (b) accurate predicted and forecasted energy models, and (c) optimized energy utilization, and (d) increased consumer empowerment with pollutants free atmosphere. Considering the above motivation, we discussed in-depth various promising features of the environment, climate, and weather shaping the energy demand of consumers. Our work describes detailed taxonomies of the above parameters with their respective trends and inter-relationship to each other. We investigated critically the mutual effects of surroundings and consumers.