Proposed Architecture for Energy Efficiency and Comfort Optimization in Smart Homes

Abstract

In this paper a smart home controller proposal is formalized as a multi-objective integer linear programming problem that minimizes energy consumption and maximizes comfort. A comfort objective function is tested for several tariff scenarios including one with renewable sources as local off-grid micro-generation. The proposed model specifies best times to activate real household appliances based on energy consumption data, given load-limiting constraint and user preferences, by use of a weighted aggregation function. The proposed scenarios have shown excellent results for energy saving without a significant reduction in comfort.