The nature of statistical learning theory
The nature of statistical learning theory
Estimating the Support of a High-Dimensional Distribution
Neural Computation
Energy-Aware agents for detecting nonessential appliances
PRIMA'10 Proceedings of the 13th international conference on Principles and Practice of Multi-Agent Systems
Heat pump detection from coarse grained smart meter data with positive and unlabeled learning
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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We are developing a novel home network system based upon the integration of information and energy. The system aims to analyze user behavior with a power-sensing network and provide various life-support services to manage power and electric appliances according to user behavior and preferences. This paper describes an electric appliance recognition method using power-sensing data measured by CECU (Communication and Energy Care Unit) which is an intelligent outlet with voltage and current sensors to integrate legacy appliances (which are incompatible with a communications network) with the home network. Furthermore, we demonstrate a prototype home energy management system and examples of services based upon appliance recognition.