Developing smart and real-time demand response mechanism for residential energy consumers

This paper investigates how to develop a real-time demand response strategy from the consumer's perspective through a computational experiment approach. Typical conventional demand response methods are reviewed and their shortcomings are analyzed. Then, a smart demand response mechanism is proposed for potential real-time demand response implementation. An integrative computing platform that combines the home energy simulator and MatLab together is used for demand response development and evaluation. The proposed smart demand response mechanism is adaptive to weather and seasonal changes, which makes the optimal real-time demand response method more effective. The real-time demand response strategy is compared with conventional demand response strategies through the computational experiment technique. Case studies are conducted by considering home energy consumption, dynamic electricity pricing schemes, and demand response methods.