Applications of artificial intelligence algorithms in the energy sector

H Szczepaniuk, EK Szczepaniuk - Energies, 2022 - mdpi.com
The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …

Review on artificial intelligence-based fault location methods in power distribution networks

H Rezapour, S Jamali, A Bahmanyar - Energies, 2023 - mdpi.com
This paper provides a comprehensive and systematic review of fault localization methods
based on artificial intelligence (AI) in power distribution networks described in the literature …

SAARC super smart grid: Navigating the future-unleashing the power of an energy-efficient integration of renewable energy resources in the saarc region

A Raza, M Liaqat, M Adnan, MS Iqbal… - Computers and …, 2024 - Elsevier
The major problems in the power system network of the South Asian Association for
Regional Cooperation (SAARC) region include the utilization of substantial fossil fuels …

Edge intelligence in Smart Grids: A survey on architectures, offloading models, cyber security measures, and challenges

DN Molokomme, AJ Onumanyi… - Journal of Sensor and …, 2022 - mdpi.com
The rapid development of new information and communication technologies (ICTs) and the
deployment of advanced Internet of Things (IoT)-based devices has led to the study and …

[HTML][HTML] Adaptive protection based on multi-agent systems for AC microgrids: A review

AJ Taveras-Cruz, D Mariano-Hernández… - Applied Energy, 2025 - Elsevier
The bidirectional power flow, voltage/frequency dynamics, and reduced fault current
observed in microgrids pose significant challenges to the protection of electrical systems …

A comprehensive review of fault diagnosis and prognosis techniques in high voltage and medium voltage electrical power lines

M Bindi, MC Piccirilli, A Luchetta, F Grasso - Energies, 2023 - mdpi.com
This paper presents an extensive review of the most effective and modern monitoring
methods for electrical power lines, with particular attention to high-voltage (HV) and medium …

Artificial Intelligence (AI) in relation to environmental life-cycle assessment, photovoltaics, smart grids and small-island economies

C Lamnatou, C Cristofari, D Chemisana - Sustainable Energy Technologies …, 2024 - Elsevier
Considering the gaps in the literature on Artificial Intelligence (AI) modelling, this article aims
to: i) present models that combine AI and environmental Life Cycle Assessment (LCA), ii) …

The transition toward merging big data analytics, IoT, and artificial intelligence with blockchain in transactive energy markets

H Shahinzadeh, SM Zanjani, J Moradi… - 2022 Global Energy …, 2022 - ieeexplore.ieee.org
Blockchain is a special technology for peer-to-peer (P2P) trading platforms, which uses
decentralized storage to record all transaction data. Blockchain was first used in 2009 in the …

[HTML][HTML] Artificial intelligence integrated grid systems: Technologies, potential frameworks, challenges, and research directions

MM Alam, MJ Hossain, MA Habib, MY Arafat… - … and Sustainable Energy …, 2025 - Elsevier
Real-time monitoring and control are crucial for ensuring the resilient, coordinated, and
optimal operation of next-generation power systems, such as virtual power plants and …

Machine Learning Methods for Fault Diagnosis in AC Microgrids: A Systematic Review

M Zaben, MY Worku, MA Hassan, MA Abido - IEEE Access, 2024 - ieeexplore.ieee.org
AC microgrids are becoming increasingly important for providing reliable and sustainable
power to communities. However, the evolution of distribution systems into microgrids has …