论文标题
表征巴西南部需求管理的经验质量
Characterizing Quality of Experience for Demand Management in South Brazil
论文作者
论文摘要
目前的工作将使用数字问卷调查表在巴西南部地区的Florianópolis进行了一项调查结果,该调查表在智能房屋的情况下询问了与需求管理系统(DMS)的相互作用。特别是,该调查介绍了受访者对需求管理的想法,并收集了数据,以实现经验质量(QOE)的需求管理政策。对Qoe-Aware方法的调查非常重要,因为它使DMS不仅可以基于经济指标做出决定,而且还可以考虑给用户引起的不适。响应的数量保证了95%的置信度和4.63 \%的误差率,并且此类响应的内容显示受访者允许DMS干预能源消耗习惯,只要它减少了能源的费用。使用聚类技术对几种家用电器的需求管理措施引起的不适的数据进行了处理,并利用了不同的典型用户资料,以每个集群的质心表示。这些配置文件可用于部署针对本地现实量身定制的Qoe-Aware DMS,这似乎是一种有前途的商业模式,因为智能房屋成为现实。
The present work delivers the results of a survey conducted in Florianópolis, on the southern region of Brazil, using a digital questionnaire which inquired about the interaction with demand management systems (DMSs) in a smart house context. In particular, the survey addressed the interviewees' thoughts on demand management and gathered data to enable the design of Quality of Experience (QoE) based demand management policies. The investigation of QoE-aware approaches is significant as it enables the DMS to take decisions not only based on economic metrics, but also taking the discomfort caused to the users into account. The number of responses guaranteed a confidence level of 95\% and an error margin of 4.63\% and the content of such responses showed favorable disposition of the interviewees on allowing interventions of DMSs on their energy consumption habits as long as it reduces their expenses with energy. The data concerning discomfort caused by demand management actions on several home appliances was treated using clustering techniques and different typical user profiles were leveraged, represented by the centroid of each cluster. Those profiles can be used to deploy QoE-aware DMSs tailored for the local reality, which seems as a promising business model as smart houses become a reality.