Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

GH Merabet, M Essaaidi, MB Haddou… - … and Sustainable Energy …, 2021 - Elsevier
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 …

A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems

O Cordón - International journal of approximate reasoning, 2011 - Elsevier
The need for trading off interpretability and accuracy is intrinsic to the use of fuzzy systems.
The obtaining of accurate but also human-comprehensible fuzzy systems played a key role …

[HTML][HTML] Artificial intelligence enabled energy-efficient heating, ventilation and air conditioning system: Design, analysis and necessary hardware upgrades

D Lee, ST Lee - Applied Thermal Engineering, 2023 - Elsevier
Literature search across different databases showed that the application of artificial
intelligence (AI) in heating, ventilation and air conditioning (HVAC) equipment has been …

Application of the analytic hierarchy process (AHP) in multi-criteria analysis of the selection of intelligent building systems

JKW Wong, H Li - Building and Environment, 2008 - Elsevier
The availability of innumerable intelligent building (IB) products, and the current dearth of
inclusive building component selection methods suggest that decision makers might be …

Intelligent buildings: An overview

F Mofidi, H Akbari - Energy and Buildings, 2020 - Elsevier
The objective of this paper is to review the topics related to the optimized operation of
intelligent buildings with respect to occupant comfort and energy consumption. To …

Intelligent building energy management system using rule sets

H Doukas, KD Patlitzianas, K Iatropoulos… - Building and …, 2007 - Elsevier
The current study presents an intelligent decision support model using rule sets based on a
typical building energy management system. In addition, the model's impact on the energy …

A personalized measure of thermal comfort for building controls

D Daum, F Haldi, N Morel - Building and Environment, 2011 - Elsevier
A personalized measure for thermal comfort has been applied for use in combination with
smart controls for building automation. Using data from a field study, we first show the …

Fuzzy logic for modeling machining process: a review

MRH Mohd Adnan, A Sarkheyli, A Mohd Zain… - Artificial Intelligence …, 2015 - Springer
The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …

[HTML][HTML] Automating occupant-building interaction via smart zoning of thermostatic loads: A switched self-tuning approach

S Baldi, CD Korkas, M Lv, EB Kosmatopoulos - Applied energy, 2018 - Elsevier
Load management actions in large buildings are pre-programmed by field engineers/users
in the form of if-then-else rules for the set point of the thermostat. This fixed set of actions …

A fast and accurate rule-base generation method for Mamdani fuzzy systems

LC Duţu, G Mauris, P Bolon - IEEE Transactions on Fuzzy …, 2017 - ieeexplore.ieee.org
The problem of learning fuzzy rule bases is analyzed from the perspective of finding a
favorable balance between the accuracy of the system, the speed required to learn the rules …