Zhao Ming, Yan Zhengbo, Zhou Liukun, Wang Huijie, Xu Xiaogang
{"title":"Energy consumption characteristics analysis of thermal power units based on s-SVR","authors":"Zhao Ming, Yan Zhengbo, Zhou Liukun, Wang Huijie, Xu Xiaogang","doi":"10.1109/ICMREE.2013.6893781","DOIUrl":null,"url":null,"abstract":"According to multi-borders, nonlinear, time-varying characteristics of the thermal system of large coal-fired power units, the relationships between the operating parameters and the energy consumption characteristics are very complex. The key operating parameters which influenced the standard coal consumption rate are obtained based on rigorous theoretical analysis. On this basis, features are extracted from the characteristics to be used as inputs of s-SVR for training and testing. Energy consumption distribution model under full conditions of large coal-fired power units based on aforesaid method has high precision.","PeriodicalId":6427,"journal":{"name":"2013 International Conference on Materials for Renewable Energy and Environment","volume":"3 1","pages":"735-739"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Materials for Renewable Energy and Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMREE.2013.6893781","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
According to multi-borders, nonlinear, time-varying characteristics of the thermal system of large coal-fired power units, the relationships between the operating parameters and the energy consumption characteristics are very complex. The key operating parameters which influenced the standard coal consumption rate are obtained based on rigorous theoretical analysis. On this basis, features are extracted from the characteristics to be used as inputs of s-SVR for training and testing. Energy consumption distribution model under full conditions of large coal-fired power units based on aforesaid method has high precision.
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