Artificial intelligence and blockchain technology for secure smart grid and power distribution Automation: A State-of-the-Art Review

AA Khan, AA Laghari, M Rashid, H Li, AR Javed… - Sustainable Energy …, 2023 - Elsevier
Artificial Intelligence (AI) integrated with Blockchain distributed ledger technology (BDLT)
has become the most attractive research area in the domain of renewable energy and …

Integrating artificial intelligence Internet of Things and 5G for next-generation smartgrid: A survey of trends challenges and prospect

E Esenogho, K Djouani, AM Kurien - IEEE Access, 2022 - ieeexplore.ieee.org
Smartgrid is a paradigm that was introduced into the conventional electricity network to
enhance the way generation, transmission, and distribution networks interrelate. It involves …

[HTML][HTML] A survey of explainable artificial intelligence for smart cities

AR Javed, W Ahmed, S Pandya, PKR Maddikunta… - Electronics, 2023 - mdpi.com
The emergence of Explainable Artificial Intelligence (XAI) has enhanced the lives of humans
and envisioned the concept of smart cities using informed actions, enhanced user …

Cybersecurity of smart inverters in the smart grid: A survey

Y Li, J Yan - IEEE Transactions on Power Electronics, 2022 - ieeexplore.ieee.org
The penetration of distributed energy resources (DERs) in smart grids significantly increases
the number of field devices owned and controlled by consumers, aggregators, third parties …

A review on application of artificial intelligence techniques in microgrids

E Mohammadi, M Alizadeh… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …

[HTML][HTML] Control and optimisation of power grids using smart meter data: A review

Z Chen, AM Amani, X Yu, M Jalili - Sensors, 2023 - mdpi.com
This paper provides a comprehensive review of the applications of smart meters in the
control and optimisation of power grids to support a smooth energy transition towards the …

[HTML][HTML] Digital twin-driven SDN for smart grid: A deep learning integrated blockchain for cybersecurity

P Kumar, R Kumar, A Aljuhani, D Javeed, A Jolfaei… - Solar Energy, 2023 - Elsevier
Abstract Internet of Things (IoT)-enabled Smart Grid (SG) network is envisioned as the next-
generation network for intelligent and efficient electric power transmission. In SG …

[HTML][HTML] Review on interpretable machine learning in smart grid

C Xu, Z Liao, C Li, X Zhou, R Xie - Energies, 2022 - mdpi.com
In recent years, machine learning, especially deep learning, has developed rapidly and has
shown remarkable performance in many tasks of the smart grid field. The representation …

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 …

[HTML][HTML] Shaping the future of sustainable energy through AI-enabled circular economy policies

MSS Danish, T Senjyu - Circular Economy, 2023 - Elsevier
The energy sector is enduring a momentous transformation with new technological
advancements and increasing demand leading to innovative pathways. Artificial intelligence …