Minimizing Energy Cost of Air Conditioner in a Residential House under Demand Side Response Model

This research is aimed to develop a consumer demanding side response model to assist electricity consumers to mitigate peak demands during the peak season. The main contribution of this research is showing that consumers can mitigate peak demands by optimizing energy costs of an air conditioner (AC) when a spike happens. It may only occur in a one and a half hours spike during the peak season. This model also investigates how AC applies the pre-cooling method when there is a substantial risk of a price spike. The results indicate that the potential benefit of the model is achieving energy savings for consumers and aggregators, also reducing electricity bills for the consumers. The model is tested with selected characteristics of the room, and based on the standard room in a residential house in Makassar, a city of Indonesia.