Creating Personalised Energy Plans: From Groups to Individuals Using Fuzzy C Means Clustering
Creating Personalised Energy Plans: From Groups to Individuals Using Fuzzy C Means Clustering
复制标题
创建个性化能源计划：使用模糊 C 均值聚类从团体到个人
DOI：
10.2139/ssrn.2829240
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
T. Rodden
中科院分区：
文献类型：
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作者：
Ian Dent;Christian Wagner;U. Aickelin;T. Rodden
Changes in the UK electricity market mean that domestic users will be required to modify their usage behaviour in accordance with energy efficiency targets. Clustering allows usage data, collected at the household level, to be clustered into groups and assigned a stereotypical profile which may be used to provide individually tailored energy plans. Fuzzy C Means extends previous work based around crisp K means clustering by allowing a household to be a member of multiple customer profile groups to different degrees, thus providing the opportunity to make personalised offers to the household dependent on their degree of membership of each group. In addition, feedback can be provided on how household’s changing behaviour is moving them towards more ”green” or cost effective stereotypical usage
多尺度动态建模以最大化需求侧管理
DOI：
10.1109/isgteurope.2011.6162723
发表时间：
2011
期刊：
--
影响因子：
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作者：
Kiprakis A
通讯作者：
Kiprakis A