Strategies to save energy in the context of the energy crisis: a review

M Farghali, AI Osman, IMA Mohamed, Z Chen… - Environmental …, 2023 - Springer
New technologies, systems, societal organization and policies for energy saving are
urgently needed in the context of accelerated climate change, the Ukraine conflict and the …

[HTML][HTML] Interpretable machine learning for building energy management: A state-of-the-art review

Z Chen, F Xiao, F Guo, J Yan - Advances in Applied Energy, 2023 - Elsevier
Abstract Machine learning has been widely adopted for improving building energy efficiency
and flexibility in the past decade owing to the ever-increasing availability of massive building …

Internet of Things (IoT) and the energy sector

N Hossein Motlagh, M Mohammadrezaei, J Hunt… - Energies, 2020 - mdpi.com
Integration of renewable energy and optimization of energy use are key enablers of
sustainable energy transitions and mitigating climate change. Modern technologies such the …

Analysis of challenges and solutions of IoT in smart grids using AI and machine learning techniques: A review

T Mazhar, HM Irfan, I Haq, I Ullah, M Ashraf, TA Shloul… - Electronics, 2023 - mdpi.com
With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

Energy management systems in sustainable smart cities based on the internet of energy: A technical review

P Mishra, G Singh - Energies, 2023 - mdpi.com
In this paper, we exploit state-of-the-art energy management in sustainable smart cities
employing the Internet of Energy (IoE). The primary goal of this study is to leverage cutting …

The internet of things for smart manufacturing: A review

H Yang, S Kumara, STS Bukkapatnam, F Tsung - IISE transactions, 2019 - Taylor & Francis
The modern manufacturing industry is investing in new technologies such as the Internet of
Things (IoT), big data analytics, cloud computing and cybersecurity to cope with system …

Deep learning in IoT intrusion detection

S Tsimenidis, T Lagkas, K Rantos - Journal of network and systems …, 2022 - Springer
Abstract The Internet of Things (IoT) is the new paradigm of our times, where smart devices
and sensors from across the globe are interconnected in a global grid, and distributed …

Sensing, controlling, and IoT infrastructure in smart building: A review

A Verma, S Prakash, V Srivastava, A Kumar… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
In this review paper, we have discussed the existing state-of-the-art practices of improved
intelligent features, controlling parameters and Internet of things (IoT) infrastructure required …

[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 …

The role of machine learning and the internet of things in smart buildings for energy efficiency

SFA Shah, M Iqbal, Z Aziz, TA Rana, A Khalid… - Applied Sciences, 2022 - mdpi.com
Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …