Modeling buildings and smart energy systems requires coupling a wide range of
components into one unified simulation process, which can be difficult given the complexity …

Buildings are responsible for a large portion of the world's energy consumption. Any
measure that can be taken to optimize the use of energy related to them must be considered …

Previous studies have identified significant demand response (DR) potentials in using
economic model predictive control (E-MPC) of space heating to exploit the inherent thermal …

The virtual energy storage system (VESS) is an innovative and cost-effective technique for
coupling building envelope thermal storage and release abilities with the electric and heat …

Dynamic façade (DF) technology is key to mitigating global climate change, benefiting
significantly from machine learning (ML) advancements in interdisciplinary research …

Flexible options are expected to be adopted in climate change mitigation strategies due to
the high uncertainty of climate change. Real options analysis (ROA) matches the feature 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 …

Demand response (DR) increases the flexibility and reliability of the electricity grid as use of
intermittent renewable energy sources increases. HVAC and envelope DR measures …

Complex dynamic shading is one of many innovative technologies widely used to improve
comfort and energy saving for the construction of a sustainable built environment for modern …

The paper proposes a two-stage home energy management system accounting for optimal
energy dispatch, power profiles predictability, and building thermal behaviour. The first look …