Data-driven approach is essential to the modeling of building thermal dynamics. It has been
widely applied in building operation optimization, energy management, system performance …

Urban building energy modeling (UBEM) is crucial for addressing energy consumption
challenges in urban environments. This study investigates the significant role of geometric …

Several studies have indicated a potential to exploit the thermal inertia of individual
residential buildings for demand response purposes using model predictive control and time …

The application of building archetypes is a widespread approach used in urban building
energy modeling. Working with archetypes has a range of benefits, but it is important that …

Data-driven models based on thermal resistor-capacitor networks (RC models) are useful in
enhancing the energy performance of buildings. This paper presents a simple yet effective …

As major energy consumers, buildings have great potential to alleviate the imbalance
between renewable energy generation and consumer demand. A building thermal mass is a …

Heat pumps are regarded as one promising option for Demand Response (DR) in
renewable-dominated energy systems. By activating the structural thermal mass of …

Several studies have indicated a significant potential in using Model Predictive Control
(MPC) of space heating for demand response purposes. The performance of the MPC …

In China, the regulation of a district heating (DH) station is mainly based on weather
compensation control. This control method leads to large room temperature fluctuations and …

In buildings, there are two yet conflicting optimization goals: 1) minimize energy use and
energy cost and 2) maximize thermal comfort. Model predictive control (MPC) is an ideal …