Smart Home Energy Management System for Monitoring and Scheduling of Home Appliances
| Autor: | Ya-LanYang, 楊雅嵐 |
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| Rok vydání: | 2014 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 102 Due to the great emphasis on energy issues, smart home technology has become one of the current trends in power management. It is considered that how to implement the computational intelligence technologies into home energy management so as to achieve comfortable environments, saving energy and costs as well as safety. This thesis proposes a smart home energy management system (HEMS). This system analyzes the electrical usage and history of all household appliances through context-aware technologies, meta-heuristics algorithms and statistical analysis. It automatically classifies the household appliances and sets usage rules under user-defined limits in order to minimize the energy usage. Furthermore, the development of renewable energy is increasingly important, so this home energy management system also takes the battery management system (BMS) which can be recharged from renewable energy and mains electricity into consideration. Referring to the electricity tariff, this system can reduce electricity costs efficiently and provide users appliances usage recommendations by forecasting approaches and scheduling management. In addition to controlling the cost of energy usage, the system also monitors the condition of household electricity to insure the safety. Training through historical power usage information and analysis, the system can detect abnormal situations and automatically handle the emergency as well as notify the users to prevent damage and loss. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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