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In this article, we present an intelligent context-aware energy management for saving home energy consumption using activities of daily living. In order to extract energy-consuming patterns, we analyze daily activities, which are collected from location sensors and electronic appliances. In addition, we construct an energy management model using the incremental statistical method, which is improved by the ISM-based adaptive model using house construction and location of electronic devices. Furthermore, we provide a simulator that conducts the various functions using the energy-consuming patterns and present the simulation results for the verification and efficiency of our model.

Intelligent context-aware energy management using the incremental simultaneous method in future wireless sensor networks and computing systems