Generic IoT for Smart Buildings and Field-Level Automation—Challenges, Threats, Approaches, and Solutions

A Ożadowicz - Computers, 2024 - mdpi.com
Smart home and building systems are popular solutions that support maintaining comfort
and safety and improve energy efficiency in buildings. However, dynamically developing …

Utilisation of Machine Learning in Control Systems Based on the Preference of Office Users

TL Bilésimo, E Ghisi - Sustainability, 2024 - mdpi.com
Reducing energy consumption is vital to save natural resources and contribute to the
sustainable development in any sector of society. In the building sector, there are many well …

Optimising Building Energy and Comfort Predictions with Intelligent Computational Model

S Alghamdi, W Tang, S Kanjanabootra, D Alterman - Sustainability, 2024 - mdpi.com
Building performance prediction is a significant area of research, due to its potential to
enhance the efficiency of building energy management systems. Its importance is …

Data-efficient Comfort Modeling: Active Transfer Learning for Predicting Personal Thermal Comfort using Limited Data

ZD Tekler, Y Lei, A Chong - Energy and Buildings, 2024 - Elsevier
Personal comfort models are used to predict thermal comfort responses at the individual
level rather than predicting the average thermal comfort responses for large populations …

Research on Summer Indoor Air Conditioning Design Parameters in Haikou City: A Field Study of Indoor Thermal Perception and Comfort

J Hu, C Lyu, Y Hou, N Zhu, K Liu - Sustainability, 2024 - mdpi.com
Escalating global climate change and the intensification of urban heatwaves have led to an
increase in summer air conditioning cooling energy consumption. This phenomenon is …