All you need to know about model predictive control for buildings

J Drgoňa, J Arroyo, IC Figueroa, D Blum… - Annual Reviews in …, 2020 - Elsevier
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 …

Energy optimization using a case-based reasoning strategy

A González-Briones, J Prieto, F De La Prieta… - Sensors, 2018 - mdpi.com
At present, the domotization of homes and public buildings is becoming increasingly
popular. Domotization is most commonly applied to the field of energy management, since it …

A multi-agent based distributed approach for optimal control of multi-zone ventilation systems considering indoor air quality and energy use

W Li, S Wang - Applied Energy, 2020 - Elsevier
A trade-off problem exists in ventilation systems to ensure acceptable indoor air quality (IAQ)
with minimized energy use. It is often solved by the centralized optimization approach today …

Agreement technologies for energy optimization at home

A González-Briones, P Chamoso, F De La Prieta… - Sensors, 2018 - mdpi.com
Nowadays, it is becoming increasingly common to deploy sensors in public buildings or
homes with the aim of obtaining data from the environment and taking decisions that help to …

A modeling framework for optimization-based control of a residential building thermostat for time-of-use pricing

PC Tabares-Velasco, A Speake, M Harris, A Newman… - Applied Energy, 2019 - Elsevier
Heating, ventilation and air conditioning for residential and commercial buildings requires a
substantial share of electric energy, and ultimately drives summer peak demand in the …

[HTML][HTML] Research on intervention PID control of VAV terminal based on LabVIEW

S Cao, W Zhao, A Zhu - Case Studies in Thermal Engineering, 2023 - Elsevier
In recent years, the research on the control method of variable air volume (VAV) has been
the focus of VAV air-conditioning research. Single terminal PID control is prone to overshoot …

Adaptive regression model-based real-time optimal control of central air-conditioning systems

SA Hussain, G Huang, RKK Yuen, W Wang - Applied energy, 2020 - Elsevier
Abstract Model-based, real-time optimal control is an effective tool to improve the energy
efficiency of central air-conditioning systems. However, its performance relies heavily on the …

Finite-time distributed formation tracking control of multi-UAVs with a time-varying reference trajectory

W Zhao, R Li, H Zhang - IMA Journal of Mathematical Control …, 2018 - academic.oup.com
This article studies finite-time distributed formation tracking control of a second-order multi-
unmanned aerial vehicle (UAV) system. To reduce the burden of the system's computation …

An inverse hygrothermal model for multi-zone buildings

J Cai, J Braun - Journal of Building Performance Simulation, 2016 - Taylor & Francis
The dynamic hygrothermal behaviour of existing buildings can be characterized using data-
driven models that are established via system identification techniques. However, most of …

Agent-based system identification for control-oriented building models

J Joe, P Karava - Journal of Building Performance Simulation, 2017 - Taylor & Francis
The paper presents a general agent-based system identification framework as potential
solution for data-driven models of building systems that can be developed and integrated …