Guwon Yoon, H. Shin, Hyeyoon Jung, Keon-hee Cho, Sanghoon Lee, Sehyun Park
{"title":"Prediction Model for Energy Sharing and Carbon Emission Management based on Distributed Solar Power Simulation in Smart City","authors":"Guwon Yoon, H. Shin, Hyeyoon Jung, Keon-hee Cho, Sanghoon Lee, Sehyun Park","doi":"10.1109/ICPS54075.2022.9773831","DOIUrl":null,"url":null,"abstract":"Distributed solar power simulation in smart cities analyzes model design plans and result values based on three strategies. Standardization of data from a data perspective, analysis of solar power generation patterns from a multidimensional perspective and suggest a model for energy sharing and carbon emission management through RNN-based simulation. By analyzing patterns based on data closely related to energy in smart cities, it refers to stable and efficient energy management and carbon reduction measures for future industries.","PeriodicalId":428784,"journal":{"name":"2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE/IAS 58th Industrial and Commercial Power Systems Technical Conference (I&CPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPS54075.2022.9773831","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Distributed solar power simulation in smart cities analyzes model design plans and result values based on three strategies. Standardization of data from a data perspective, analysis of solar power generation patterns from a multidimensional perspective and suggest a model for energy sharing and carbon emission management through RNN-based simulation. By analyzing patterns based on data closely related to energy in smart cities, it refers to stable and efficient energy management and carbon reduction measures for future industries.