Paper Info
Title
Real-Time Recognition and Profiling of Appliances through a Single Electricity Sensor
Abstract
Sensing, monitoring and actuating systems are expected to play a key role in reducing buildings overall energy consumption. Leveraging sensor systems to support energy efficiency in buildings poses novel research challenges in monitoring space usage, controlling devices, interfacing with smart energy meters and communicating with the energy grid. In the attempt of reducing electricity consumption in buildings, identifying individual sources of energy consumption is key to generate energy awareness and improve efficiency of available energy resources usage. Previous work studied several non-intrusive load monitoring techniques to classify appliances; however, the literature lacks of an comprehensive system that can be easily installed in existing buildings to empower users profiling, benchmarking and recognizing loads in real-time. This has been a major reason holding back the practice adoption of load monitoring techniques. In this paper we present RECAP: RECognition of electrical Appliances and Profiling in real-time. RECAP uses a single wireless energy monitoring sensor easily clipped to the main electrical unit. The energy monitoring unit transmits energy data wirelessly to a local machine for data processing and storage. The RECAP system consists of three parts: (1) Guiding the user for profiling electrical appliances within premises and generating a database of unique appliance signatures; (2) Using those signatures to train an artificial neural network that is then employed to recognize appliance activities (3) Providing a Load descriptor to allow peer appliance benchmarking. RECAP addresses the need of an integrated and intuitive tool to empower building owners with energy awareness. Enabling real-time appliance recognition is a stepping-stone towards reducing energy consumption and allowing a number of major applications including load-shifting techniques, energy expenditure breakdown per appliance, detection of power hungry and faulty appliances, and recogn- - ition of occupant activity. This paper describes the system design and performance evaluation in domestic environment.
Year
DOI
Venue
2010
10.1109/SECON.2010.5508244
Sensor Mesh and Ad Hoc Communications and Networks
Keywords
Field
DocType
domestic appliances,electric sensing devices,power consumption,power meters,RECAP,artificial neural network,electricity consumption,energy awareness,energy consumption,energy expenditure breakdown,energy grid,leveraging sensor systems,load monitoring techniques,load-shifting techniques,monitoring space usage,real-time appliance recognition,real-time recognition,recognition of electrical appliances and profiling,single electricity sensor,single wireless energy monitoring sensor,smart energy meters
Computer science,Profiling (computer programming),Intelligent sensor,Efficient energy use,Systems design,Interfacing,Real-time computing,Grid energy storage,Energy consumption,Electricity generation,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4244-7151-5
67
4.49
References 
Authors
3
4
Name
Order
Citations
PageRank
Antonio Ruzzelli130021.94
Nicolas, C.2674.49
Anthony Schoofs3674.49
G. M. P. O’Hare428820.39