Design of A Smart Socket for Smart Home Energy Management Systems UniversityLibraryCurrent studentsStaff intranet View Item SeS Home The University of Sydney Theses Postgraduate Theses Sydney Digital Theses (University of Sydney Access only) View Item SeS Home The University of Sydney Theses Postgraduate Theses Sydney Digital Theses (University of Sydney Access only) View Item JavaScript is disabled for your browser. Some features of this site may not work without it. Home FAQs Submit Sign in Search Advanced search Simple search Browse All of SeS Repository CollectionsTitlesAuthorsPublication yearSubjects This collection TitlesAuthorsPublication yearSubjects My account Sign inRegister Statistics Most popular itemsStatistics by countryMost popular authors University Library Current students Staff intranet Design of A Smart Socket for Smart Home Energy Management Systems https://hdl.handle.net/2123/22099 Permalink Url copied! Export CSV Excel BibTeX RIS Share Access status: USyd Access File/s: Thesis (PDF, 1.69MB) Permalink https://hdl.handle.net/2123/22099 Metadata Show full item record Author/s Zhang, Jiawei Abstract As the world seeks to transition away from fossil fuel technologies, there has been a driving market for the safe and smart consumption of electricity. Effective energy usage at the residential side has enormous potential for energy saving and power load balancing. This thesis ... See moreAs the world seeks to transition away from fossil fuel technologies, there has been a driving market for the safe and smart consumption of electricity. Effective energy usage at the residential side has enormous potential for energy saving and power load balancing. This thesis presents a comprehensive study on the Home Energy Management System (HEMS) especially in the aspect of Appliance Load Monitoring (ALM) system. The study reviews the state of art of intrusive load monitoring (ILM) technology and Non-intrusive Appliance Load Monitoring (NILM), and compares their advantages and disadvantages. This paper also introduces household electrical devices modelling and HEMS scheduling strategies. Case studies showed a satisfying performance on the real time electricity price prediction and HEMS optimal scheduling models. Moreover, a low-cost smart socket based on the internet of things (IoT) for the real-time measurement of instantaneous power during the operation of home appliances was designed and fabricated. The experimental results showed the designed smart socket can be fully utilized for monitoring and controlling home electrical devices. Finally, a residential load monitoring algorithm based on bidirectional long short-term memory (BLTSM) has been proposed for electrical load identification. Through experimental demonstrations, the performance of the proposed BLSTM can achieve more than 90% load identification accuracy which is shown to be higher than five commonly used benchmark algorithms in the literature. Moreover, the power history curves of five common household appliances can be accurately identified during vastly different operational states demonstrating the robust and accurate performance of this innovative smart socket. Furthermore, a minor cost analysis versus load identification accuracy validates the reduced cost using the innovative 3D printed smart socket and BLSTM proposed in this work. See less PublisherUniversity of Sydney Faculty of Engineering School of Electrical and Information Engineering TypePhD Doctorate Year2020-01-01 LicenceThe author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission. Subjects Home energy management systems smart socket energy consumption sensors Share Version history There are no previous versions of the item available. Search Advanced search Simple search Filters Use filters to refine the search results. 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