Analysis of electricity supply data

Empirical thesis.Bibliography: pages 89-91.1. Introduction -- 2. Current approaches to NILM and background information -- 3. State changes in power space and power transient features -- 4. Technologies and hardware used -- 5. NILM system design and implementation -- 6. Testing and discussion -- 7. Conclusions and future work -- 8. Abbreviations -- Appendix -- Bibliography.Determining the power consumption and switiching times of a building or households connected loads and appliances is crucial for energy analysis and optimisation, which is increasingly becoming more relevant in today's society due to the implementation of renewable technologies and soaring energy prices. This project looks to analyse current techniques for determining electrical load characteristics from an aggregate electrical source such as a building's electrical mains. In this project a test and simulation setup is constructed. Using a non-intrusive power metering device aggregate electrical power data is collected and analysed using the techniques explored to determine individual load characteristics and to autonomously determine when individual loads are switched on and off. This is done so that individual appliances' power consumption can be estimated, or appliance switching times used for automation purposes.Mode of access: World wide web.1 online resource (xvii, 91 pages diagrams, graphs, tables