IoT for smart home energy planning

Abstract

This article presents a platform combining hardware and software for smart power consumption monitoring and planning in urban scenarios. The system integrates a hardware controller for energy efficiency, a communication protocol to improve data transmission, and a software module for planning and managing home devices. The proposed solution is implemented applying the Internet of Things paradigm, allowing the integration of computational intelligence techniques. A greedy algorithm is proposed for planning, according to user preferences and a maximum allowed power consumption. Results show that the power consumption of a water heater is reduced up to 38.9%, and two water heaters and one air conditioning can be optimized simultaneously without reducing the quality of service. These results suggest that the proposed approach is useful for home power consumption planning.