Multi-Level Energy Consumption Optimization for Smart Buildings

One of the most interesting challenges in the modern grids is the consumer demand management and optimization. However, the Information and Communication Technologies (ICTs) can offer promising solutions for this challenge. In this paper, we introduce a distributed multi-level solution for the energy consumption optimization. The proposed solution offers an automated demand control mechanism, using a Wireless Sensor Actuator Network (WSAN), to reduce the energy consumption of each consumer. Moreover, we propose a scheduling scheme that minimizes the total cost of a building energy demand based on a cooperative game model to achieve the collective goal. We introduce also a mechanism that improves the consumer satisfaction when the available energy is insufficient. The performance evaluation shows that the proposed approach reduces the energy demand, the total consumption cost, and the peak to average ratio.