Theis Heidmann Pedersen

TL;DR: In this paper, the authors presented a plug-and-play occupancy detection method based on the trajectory of various indoor climate sensor data, which was used to test the efficacy of the method.

TL;DR: In this article, the authors investigated how economic model predictive control (E-MPC) schemes for space heating operation can utilize the thermal mass in an existing multi-story apartment block and eight retrofit scenarios to provide indirect demand response (DR).

TL;DR: In this article, a bottom-up model of large groups of residential buildings using data from public building registers, weather measurements, and hourly smart-meter consumption data is presented, based on describing district heating consumption using a modified version of the building energy model described in ISO 13790 in combination with a model of the domestic hot water consumption.

TL;DR: In this article, an image-based method for automatic establishment of a reliable and anonymous ground truth at entrance areas where the room height only allow the camera to be installed at 2.3-3.0m above the floor.

TL;DR: In this article, the authors presented a simulation-based study of the performance of an economic model predictive control scheme used to enable demand response through parallel utilization of day-ahead market prices and intraday market trading.