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] Machine learning and data-driven techniques for the control of smart power generation systems: An uncertainty handling perspective
Due to growing concerns regarding climate change and environmental protection, smart
power generation has become essential for the economical and safe operation of both …
power generation has become essential for the economical and safe operation of both …
A model predictive control strategy to optimize the performance of radiant floor heating and cooling systems in office buildings
This paper introduces a smart operation strategy based on model predictive control (MPC) to
optimize the performance of hydronic radiant floor systems in office buildings and presents …
optimize the performance of hydronic radiant floor systems in office buildings and presents …
Integration of flexibility potentials of district heating systems into electricity markets: A review
Increasing the penetration of Renewable Energy Sources (RES), eg wind and solar,
intermittency and volatility of the supply-side are increasing in power systems worldwide …
intermittency and volatility of the supply-side are increasing in power systems worldwide …
Systematic review on model predictive control strategies applied to active thermal energy storage systems
This paper presents a review of the application of model predictive control strategies to
active thermal energy storage systems. To date, model predictive control has been used to …
active thermal energy storage systems. To date, model predictive control has been used to …
Sustainable design, integration, and operation for energy high-performance process systems
The worldwide energy demands and resource consumption are rising despite the efforts for
energy saving and emission reduction. This results from the combination of the supply chain …
energy saving and emission reduction. This results from the combination of the supply chain …
Energy optimization algorithms for multi-residential buildings: A model predictive control application
This study presents an optimization algorithm for Model Predictive Control (MPC) of the
HVAC systems in multi-family residential buildings assessing the performance of four …
HVAC systems in multi-family residential buildings assessing the performance of four …
A general transfer learning-based framework for thermal load prediction in regional energy system
Y Lu, Z Tian, R Zhou, W Liu - Energy, 2021 - Elsevier
Accurate and reliable thermal load prediction is of great significance for predictive control
and optimal dispatch of regional energy systems. Data-driven approach has more …
and optimal dispatch of regional energy systems. Data-driven approach has more …
Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects
Buildings account for a significant amount of energy consumption leading to the issues of
global emissions and climate change. Thus, energy management in a building is …
global emissions and climate change. Thus, energy management in a building is …
Model predictive control for demand side management in buildings: A survey
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 …
measure that can be taken to optimize the use of energy related to them must be considered …