Data-driven based HVAC optimisation approaches: A Systematic Literature Review
M Ala'raj, M Radi, MF Abbod, M Majdalawieh… - Journal of Building …, 2022 - Elsevier
Improving the energy efficiency of Heating, Ventilation, and Air Conditioning (HVAC)
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
systems is crucial to reduce buildings' energy costs and their carbon footprint. HVAC …
Analysis of Variables Affecting Indoor Thermal Comfort in Mediterranean Climates Using Machine Learning
P Aparicio-Ruiz, E Barbadilla-Martín, J Guadix… - Buildings, 2023 - mdpi.com
To improve the energy efficiency and performance of buildings, it is essential to understand
the factors that influence indoor thermal comfort. Through an extensive analysis of various …
the factors that influence indoor thermal comfort. Through an extensive analysis of various …
Forecasting of energy demands for smart home applications
The utilization of energy is on the rise in current trends due to increasing consumptions by
households. Smart buildings, on the other hand, aim to optimize energy, and hence, the aim …
households. Smart buildings, on the other hand, aim to optimize energy, and hence, the aim …
Internet of things and machine learning applied to the thermal comfort of internal environments
M Nascimento, P Lopes - Indoor and Built Environment, 2022 - journals.sagepub.com
The internet of things connects objects to the internet, enabling the dialogue between
devices and users, providing new opportunities for applications, such as thermal comfort. In …
devices and users, providing new opportunities for applications, such as thermal comfort. In …
Influence of psychological and personal factors on predicting individual's thermal comfort in an office building using linear estimation and machine learning model
M Nafiz, SA Zaki, PD Nadarajah… - Advances in Building …, 2024 - Taylor & Francis
Thermal comfort in the building affects occupants' health, productivity, and electricity use.
Predicting occupants' thermal comfort in advance will be helpful. Nowadays, a widely used …
Predicting occupants' thermal comfort in advance will be helpful. Nowadays, a widely used …
Optimization of Air Conditioning Energy Consumption Based on Indoor Comfort Degree
J Fang, X Li, K Wang - 2022 34th Chinese Control and …, 2022 - ieeexplore.ieee.org
With the aggravation of energy shortage and environmental degradation, energy saving and
emission reduction are imperative. Among them, the energy consumption of air conditioners …
emission reduction are imperative. Among them, the energy consumption of air conditioners …
Improving occupant comfort through real-time Predictive control of Indoor environment using Predicted-Mean Vote model and MLP
B Hency V - arXiv preprint arXiv:2409.00080, 2024 - arxiv.org
The Predicted Mean Vote (PMV) index is a widely accepted method in the building
automation sector because it can precisely estimate indoor thermal comfort levels …
automation sector because it can precisely estimate indoor thermal comfort levels …
Demand Response of HVAC Systems Using Data-Driven Approaches and Modelling Procedure
Demand Response (DR) from Heating, Ventilation, and Air-Conditioning (HVAC) systems is
quantified by studying performance of energy buildings. Physical models, hybrid methods …
quantified by studying performance of energy buildings. Physical models, hybrid methods …
[PDF][PDF] Thermal Comfort of the Environment with Internet of Things, Big Data and Machine Learning
MG do Nascimento, PB Lopes - CS & IT Conference Proceedings, 2021 - csitcp.com
This research proposes to evaluate the level of thermal comfort of the environment in real
time using Internet of Things (IoT), Big Data and Machine Learning (ML) techniques for …
time using Internet of Things (IoT), Big Data and Machine Learning (ML) techniques for …