University of Antwerp
Demand response management is one of the key applications of future energy systems. Most of the corresponding models and algorithms require a certain amount of user interaction to define appliances and rules for these processes. In this paper the authors implemented a cloud-based demand response approach to evaluate its efficiency depending on users input data. For simulation they used results of an online survey, mainly focusing on selection of devices and temporal flexibility concerning possible switch-off times. Contrary to their expectations the costs per load reduction (incentive prices to be paid by the utility) does not decrease when users have more than the day/night option to define switch-off timeslots.