Model predictive control of heating, ventilation, and air conditioning (HVAC) systems: A state-of-the-art review
Due to the fast advancement of communication and information technology, intelligent
buildings have garnered great interest. These buildings can forecast weather, ambient …
buildings have garnered great interest. These buildings can forecast weather, ambient …
All you need to know about model predictive control for buildings
It has been proven that advanced building control, like model predictive control (MPC), can
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
notably reduce the energy use and mitigate greenhouse gas emissions. However, despite …
Evolutionary algorithms and their applications to engineering problems
The main focus of this paper is on the family of evolutionary algorithms and their real-life
applications. We present the following algorithms: genetic algorithms, genetic programming …
applications. We present the following algorithms: genetic algorithms, genetic programming …
Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques
Building operations represent a significant percentage of the total primary energy consumed
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …
in most countries due to the proliferation of Heating, Ventilation and Air-Conditioning …
[HTML][HTML] Data-driven predictive control for unlocking building energy flexibility: A review
Managing supply and demand in the electricity grid is becoming more challenging due to
the increasing penetration of variable renewable energy sources. As significant end-use …
the increasing penetration of variable renewable energy sources. As significant end-use …
Model predictive control (MPC) for enhancing building and HVAC system energy efficiency: Problem formulation, applications and opportunities
In the last few years, the application of Model Predictive Control (MPC) for energy
management in buildings has received significant attention from the research community …
management in buildings has received significant attention from the research community …
Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning
Whole building energy model (BEM) is a physics-based modeling method for building
energy simulation. It has been widely used in the building industry for code compliance …
energy simulation. It has been widely used in the building industry for code compliance …
Comprehensive analysis of the relationship between thermal comfort and building control research-A data-driven literature review
Buildings are responsible for about 30–40% of global energy demand. At the same time, we
humans spend almost our entire life, up to 80–90% of the time, inside of buildings. Reducing …
humans spend almost our entire life, up to 80–90% of the time, inside of buildings. Reducing …
[HTML][HTML] BIM and IoT data fusion: The data process model perspective
Digitalization in the architecture, engineering, and construction (AEC) industry has
highlighted the process of gathering and combining data from numerous sources. This …
highlighted the process of gathering and combining data from numerous sources. This …
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making
Non-domestic buildings contribute 20% of the UK's annual carbon emissions. A contribution
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …
exacerbated by its ageing stock of which only 7% is considered new-build. Consequently …