AI-big data analytics for building automation and management systems: a survey, actual challenges and future perspectives
In theory, building automation and management systems (BAMSs) can provide all the
components and functionalities required for analyzing and operating buildings. However, in …
components and functionalities required for analyzing and operating buildings. However, in …
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 …
[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 with adaptive machine-learning-based model for building energy efficiency and comfort optimization
A model predictive control system with adaptive machine-learning-based building models
for building automation and control applications is proposed. The system features an …
for building automation and control applications is proposed. The system features an …
Optimizing building energy consumption in office buildings: A review of building automation and control systems and factors influencing energy savings
L Vandenbogaerde, S Verbeke, A Audenaert - Journal of Building …, 2023 - Elsevier
Abstract Building Automation and Control Systems (BACS) offer promising opportunities to
reduce building energy consumption, aligning with the European Union's climate goals. This …
reduce building energy consumption, aligning with the European Union's climate goals. This …
Building thermal modeling and model predictive control with physically consistent deep learning for decarbonization and energy optimization
Being a primary contributor to global energy consumption and energy-related carbon
emissions, the building and building construction sectors are a crucial player in the …
emissions, the building and building construction sectors are a crucial player in the …
[HTML][HTML] Evaluation of advanced control strategies for building energy systems
Advanced building control strategies like model predictive control and reinforcement
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
learning can consider forecasts for weather, occupancy, and energy prices. Combined with …
[HTML][HTML] Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
Because physics-based building models are difficult to obtain as each building is individual,
there is an increasing interest in generating models suitable for building MPC directly from …
there is an increasing interest in generating models suitable for building MPC directly from …
Field test of Model Predictive Control in residential buildings for utility cost savings
Air conditioners in residential buildings often rely on local feedback control to regulate the
indoor temperature, where the unit is cycled on and off by comparing the actual temperature …
indoor temperature, where the unit is cycled on and off by comparing the actual temperature …
Building energy management with reinforcement learning and model predictive control: A survey
Building energy management has been recognized as of significant importance on
improving the overall system efficiency and reducing the greenhouse gas emission …
improving the overall system efficiency and reducing the greenhouse gas emission …