Dynamic mode decomposition for nonintrusive and robust model predictive control of residential heating systems

Editorial: Emerging Sustainable and Energy-Efficient Technologies in Heat Pumps for Residential Heating

“…Due to the complexity of the system and increasing demand from end-users, innovation of control strategies has been proposed with the dynamic modeling of heat pump systems, such as new data-based models (Lei et al, 2021) and new applications of artificially intelligent techniques (Abokersh et al, 2020). Meanwhile, efforts have also been made to develop huge low-cost sensors for data collection and robust dynamic heat pump models for optimum control or advanced intelligent control (Patyn and Deconinck, 2022). Such progress helps advance the sustainability and efficiency of heat pumps, and these recently developed technologies provide new insights into heat pumps.…”

The Impact of Thermo-Modernization and Predictive Regulation on Heat Energy Consumption and Emission of Pollutants into the Atmosphere - The Case of Prefabricated Buildings

“…With the rapid advancement of machine learning [33][34][35] and data mining technologies [36,37], especially deep learning [38][39][40] and reinforcement learning [41,42], building structure HVAC will become smarter based on historical data such as temperature, humidity and energy consumption. In addition to the abovementioned research, many other cases have been investigated on HVAC [43][44][45][46][47][48][49][50][51][52][53][54].…”