Smart transportation: an overview of technologies and applications

D Oladimeji, K Gupta, NA Kose, K Gundogan, L Ge… - Sensors, 2023 - mdpi.com
As technology continues to evolve, our society is becoming enriched with more intelligent
devices that help us perform our daily activities more efficiently and effectively. One of the …

[HTML][HTML] Reviewing and integrating aec practices into industry 6.0: Strategies for smart and sustainable future-built environments

A Almusaed, I Yitmen, A Almssad - Sustainability, 2023 - mdpi.com
This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0
into the design and construction of intelligent, environmentally friendly, and long-lasting …

A review on enhancing energy efficiency and adaptability through system integration for smart buildings

I Ahmed, M Asif, HH Alhelou, M Khalid - Journal of Building Engineering, 2024 - Elsevier
The increasing need for reducing carbon emissions and promoting smart, energy-saving
buildings is fueling the rising trend of sophisticated control systems. This study provides …

State of the art review on the HVAC occupant-centric control in different commercial buildings

G Huang, ST Ng, D Li, Y Zhang - Journal of Building Engineering, 2024 - Elsevier
Heating ventilation and air conditioning (HVAC) systems control that takes occupant
information into account is called HVAC occupant-centric control (OCC), which strikes better …

[HTML][HTML] A comprehensive review of the applications of machine learning for HVAC

SL Zhou, AA Shah, PK Leung, X Zhu, Q Liao - DeCarbon, 2023 - Elsevier
Heating, ventilation and air-conditioning (HVAC) accounts for around 40% of the total
building energy consumption. It has therefore become a major target for reductions, in terms …

Exploring the benefits and limitations of digital twin technology in building energy

F Tahmasebinia, L Lin, S Wu, Y Kang, S Sepasgozar - Applied Sciences, 2023 - mdpi.com
Buildings consume a significant amount of energy throughout their lifecycle; Thus,
sustainable energy management is crucial for all buildings, and controlling energy …

Energy forecasting: a comprehensive review of techniques and technologies

A Mystakidis, P Koukaras, N Tsalikidis, D Ioannidis… - Energies, 2024 - mdpi.com
Distribution System Operators (DSOs) and Aggregators benefit from novel energy
forecasting (EF) approaches. Improved forecasting accuracy may make it easier to deal with …

[HTML][HTML] Modeling and forecasting electricity consumption amid the COVID-19 pandemic: Machine learning vs. nonlinear econometric time series models

L Charfeddine, E Zaidan, AQ Alban, H Bennasr… - Sustainable Cities and …, 2023 - Elsevier
Accurately modeling and forecasting electricity consumption remains a challenging task due
to the large number of the statistical properties that characterize this time series such as …

Successful application of predictive information in deep reinforcement learning control: A case study based on an office building HVAC system

Y Gao, S Shi, S Miyata, Y Akashi - Energy, 2024 - Elsevier
Reinforcement Learning (RL), a promising algorithm for the operational control of Heating,
Ventilation, and Air Conditioning (HVAC) systems, has garnered considerable attention and …

[HTML][HTML] Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review

K Al Sayed, A Boodi, RS Broujeny, K Beddiar - Journal of Building …, 2024 - Elsevier
Abstract Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major
source of global operational CO 2 emissions, primarily due to their high energy demands …