Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the …

T Ahmad, R Madonski, D Zhang, C Huang… - … and Sustainable Energy …, 2022 - Elsevier
The current trend indicates that energy demand and supply will eventually be controlled by
autonomous software that optimizes decision-making and energy distribution operations …

[HTML][HTML] Energetics Systems and artificial intelligence: Applications of industry 4.0

T Ahmad, H Zhu, D Zhang, R Tariq, A Bassam, F Ullah… - Energy Reports, 2022 - Elsevier
Industrial development with the growth, strengthening, stability, technical advancement,
reliability, selection, and dynamic response of the power system is essential. Governments …

[HTML][HTML] Smart city and cyber-security; technologies used, leading challenges and future recommendations

C Ma - Energy Reports, 2021 - Elsevier
Today, some cities around the world have tended to use new technologies and become
smart city. New technologies improve the quality of citizens' life. However, the use of any …

[HTML][HTML] A survey of digital twin techniques in smart manufacturing and management of energy applications

Y Wang, X Kang, Z Chen - Green Energy and Intelligent Transportation, 2022 - Elsevier
With the continuous advancement and exploration of science and technology, the future
trend of energy technology will be the deep integration of digitization, networking …

lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning

C Hazman, A Guezzaz, S Benkirane, M Azrour - Cluster Computing, 2023 - Springer
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …

Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review

F Ahsan, NH Dana, SK Sarker, L Li… - … and Control of …, 2023 - ieeexplore.ieee.org
Meteorological changes urge engineering communities to look for sustainable and clean
energy technologies to keep the environment safe by reducing CO 2 emissions. The …

Post COVID-19 ENERGY sustainability and carbon emissions neutrality

CT Chong, Y Van Fan, CT Lee, JJ Klemeš - Energy, 2022 - Elsevier
This review covers the recent advancements in selected emerging energy sectors,
emphasising carbon emission neutrality and energy sustainability in the post-COVID-19 era …

Key technologies for smart energy systems: Recent developments, challenges, and research opportunities in the context of carbon neutrality

H Zhu, HH Goh, D Zhang, T Ahmad, H Liu… - Journal of Cleaner …, 2022 - Elsevier
Energy crisis and environmental pollution have expedited the transition of the energy
system. Global use of low-carbon energy has increased from 1: 6.16 to 1: 5.37. Smart energy …

A Study on Smart Energy Management Framework Using Cloud Computing

N Venkateswaran, K Vidhya, M Ayyannan… - … Intelligence, and Next …, 2023 - igi-global.com
This study focuses on investigating energy-aware resources and designing an energy-
efficient cloud architecture. It aims to optimize the decentralization model and establish …

Development of smart energy systems for communities: Technologies, policies and applications

A Razmjoo, S Mirjalili, M Aliehyaei, PA Østergaard… - Energy, 2022 - Elsevier
Highlights•Smart Energy Systems reduces CO 2 emissions while increases energy
efficiency.•Development of the Smart Sustainable Energy using PEST analysis are more …