Fuzzy Multi-kernel Approach in Intelligent Control of Energy Consumption in Smart Cities

In the smart cities of the future, artificial intelligence will play significant role in enhancing efficiency of operations and utilization of city assets. The power grid is the preeminent asset of a city and consists of the cornerstone upon which residents' activities depend. In this paper, an intelligent control approach of energy consumption in smart cities is proposed. The intelligent controller integrates multiple kernel machines and fuzzy logic rules to optimize energy consumption within a city's infrastructure. The approach utilizes multiple pieces of information to define the percentage of the energy to be supplied at a specific area of the city. In particular, consumption control actions are driven by current as well predicted information. The kernel machines are utilized for prediction making while the fuzzy rules fuse information and provide the percentage of energy to be consumed. The proposed approach is tested on a set of simulated scenarios, where its applicability in smart cities is demonstrated.