Milad Riyahi

With no doubt, electrical energy is a critical aspect of contemporary life. Almost all the appliances that we use daily are somehow dependent on this energy. Not only, producing energy is an expensive procedure, also, the level of produced energy is not flexible. To this end, energy must always be produced higher than the peak to guarantee no network outage. Therefore, planning the energy consumption is an important research field. Shifting the load of the peak hours to the valley parts is a practical strategy to control energy consumption. In this way, the hours of consumption are scheduled instead of forcing consumers to reduce the level of their consumption. This complicated scheduling strategy, Load shifting, takes place under the umbrella of Demand-Side Management topic. In my Ph.D. research, I am trying to establish a controller to find a proper scheduled consumption plan, which satisfies the requests of consumers while reducing the overall produced energy. This controller receives data of consumers as input and produces a consumption plan as the output. The infrastructure of the controller will be based on intelligent techniques like machine learning, deep learning, and meta-heuristic optimization algorithms.