Analysis of Energy Behaviour Profiles of Prosumers
Smart Grid (SG) achieves bidirectional energy and information flow between the energy user and the utility grid, allowing energy users not only to consume energy, but also to generate the energy and share the excess energy with the utility grid or with other energy consumers. This type of energy user is called the “prosumer. In current society, a massive number of energy-users have transformed into prosumers due to many reasons such as the strong society attitude with respect to alleviation of negative climate impacts, desires to decrease electricity costs, and various government regulations, including generous feed-in tariff schemes. This leads much attention within the research community on investigating the aspects of prosumers connected to SG. However most researchers find it challenges to find a large dataset of prosumers for performing the experiments. This leads the necessity of identifying the generic prosumers’ realistic energy behaviors, and accordingly generates a synthetic dataset. In this research paper, we present prosumers’ realistic energy behavior profiles during summer and winter periods in Australia and present its application in generating a synthetic dataset. The new researchers can use the identified energy profiles as a benchmark to generate a synthetic dataset for their experiments.
smart grid prosumer feed-in tariff energy profile
A.J.Dinusha Rathnayaka Vidyasagar M.Potdar Tharam Dillon Omar Hussain Samitha Kuruppu
Digital Ecosystems and Business Intelligence InstituteCurtin UniversityPerth, Australia Digital Ecosystems and Business Intelligence Institute Curtin University Perth, Australia
国际会议
IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)
北京
英文
236-241
2012-07-25（万方平台首次上网日期，不代表论文的发表时间）