Application of a Multi-Objective User-Centric Method to Energy Management in Smart Home Considering Consumer Privacy

This paper investigates smart home energy management in consideration of tradeoffs between residential privacy and energy costs. A multi-objective approach that minimizes energy costs and maximizes privacy protection is proposed. This approach leads to a multi-objective optimization problem in which the two objectives addressed in separate dimensions. PSO algorithm that employs a stochastic search used for power scheduling of home appliances and uses deterministic battery control developed accordingly. The proposed approach can avoid some drawbacks faced by conventional weighted-sum methods for multi-objective optimization. Simulations reveal that the proposed approach can maintain a reasonable energy cost while robustly preserving user privacy at a sensible level, finally the numerical results shown and analyzed.