Browsing by Author "Chen, Yung-Chi"

Now showing 1 - 4 of 4

A Novel Search Scheme for Nonintrusive Load Monitoring Systems
(2012)
Lai, Yi-Sheng
;
Chen, Yung-Chi
;
Tsao, Shiao-Li
;
Tsai, Tzung-Cheng
;
資訊工程學系
A nonintrusive load monitoring (NILM) system analyzes the changes of voltage and current on an electrical circuit and can disaggregate the usage and power consumption of appliances on the same circuit loop according to different power consumption signatures of the appliances. An NILM system is regarded as one of the most important features for energy monitoring and management in a smart home and building. Advances in computing, communication and storage technologies further make an NILM system possible to accommodate a huge amount of power consumption signatures of appliances, and to detect appliances and/or appliance states through database search techniques. In this study, we propose a low-cost NILM system for a smart home and building to facilitate end users contributing the power consumption signatures of their appliances to a datacenter through confirmations or feedbacks of the NILM search. Based on those user contributed datasets, a new NILM search algorithm is then presented in this paper. To evaluate and compare the performance and accuracy of NILM search results by employing the proposed and existing approaches, an evaluation test-bed is established. The experimental results demonstrate that the proposed scheme outperforms the existing algorithms and can achieve 85% to 96% accuracy of appliance state detections.
Design and Implementation of a Home and Building Gateway with Integration of Non intrusive Load Monitoring Meters
(2012)
Lin, Ming-Chun
;
Chen, Yung-Chi
;
Tsao, Shiao-Li
;
Tang, Wenshiang
;
資訊工程學系
Home and building automation system is proposed not only for improving user comfort and safety but also for energy management of a house and building. However, conventional home and building automation system may not know detailed information of appliances and appliance states in a house and building so that some advanced services might not be able to provide. In this study, we integrate nonintrusive load monitoring (NILM) meters with a gateway so that the gateway can understand the power consumptions of appliances in a house and building and provide detailed information of appliances and their states. We design and implement the proposed gateway based on Open Service Gateway Initiative (OSGi) framework with the integration of NILM smart meters, sensors and actuators. Based on this infrastructure, we then present a data mining and event association algorithm to establish the relationships between appliances, sensors and actuators. The association and relationship information can be used to identify appropriate smart home and building services to specific houses and buildings, to locate appliances in a particular room and area, and to help an NILM system to collect the signatures of unknown appliances. Our prototype system demonstrates that the functionalities of a gateway and its services for a smart home and building can be significantly improved by integrating NILM meters.
Detecting Users' Behaviors based on Nonintrusive Load Monitoring Technologies
(2013)
Chen, Yung-Chi
;
Chu, Chun-Mei
;
Tsao, Shiao-Li
;
Tsai, Tzung-Cheng
;
資訊工程學系
Conventional user behavior detection relies on a large amount of sensors and expensive monitoring devices. Moreover, the systems are usually intrusive and may suffer from deployment problems. In this paper, we design and implement an energy management system (EMS) consisting of a non-intrusive load monitoring (NILM) meter, gateway, server and mobile device. The NILM meter provides a non-intrusive and low-cost solution to recognize the states of appliances and to disaggregate the energy consumption of appliances in a house/building. Based on the proposed EMS, we further implement a data mining scheme to detect users' behaviors based on the usage patterns of appliances. A prototype system verifies our design concept and the simulation results show that the detection accuracy of users' behaviors is more than 80% for most of the activities.
Power monitoring device for identifying state of electric appliance and power monitoring method thereof
(2012-01-04)
Tsao, Shiao-Li
;
Lai, Yi-Sheng
;
Lin, Ming-Chun
;
Chen, Yung-Chi
A power monitoring device for identifying the state of an electric appliance based on user feedbacks and a power monitoring method thereof are provided. The power monitoring device includes a measurement module, a variation detection and search module, and an electric appliance signature database established based on user feedbacks. When the measurement module detects a variation of a power consumption feature, the variation detection and search module searches the electric appliance signature database according to the variation to obtain electric appliances similar to the variation and the states thereof. A user contributes data to the electric appliance signature database by confirming the search result, or selecting the correct electric appliance and the state thereof. When the user confirms the search result, the power monitoring device establishes an association between the electric appliance and its electric appliance signatures and updates the electric appliance signature database.