Deep learning in smart grid technology: A review of recent advancements and future prospects

M Massaoudi, H Abu-Rub, SS Refaat, I Chihi… - IEEE …, 2021 - ieeexplore.ieee.org
The current electric power system witnesses a significant transition into Smart Grids (SG) as
a promising landscape for high grid reliability and efficient energy management. This …

Deep learning for cybersecurity in smart grids: Review and perspectives

J Ruan, G Liang, J Zhao, H Zhao, J Qiu… - Energy Conversion …, 2023 - Wiley Online Library
Protecting cybersecurity is a non‐negotiable task for smart grids (SG) and has garnered
significant attention in recent years. The application of artificial intelligence (AI), particularly …

[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey

P Boopathy, M Liyanage, N Deepa, M Velavali… - Computer Science …, 2024 - Elsevier
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

[HTML][HTML] Deep learning methods utilization in electric power systems

S Akhtar, M Adeel, M Iqbal, A Namoun, A Tufail… - Energy Reports, 2023 - Elsevier
The fast expansion of renewable energy sources, rising electricity demand, and the
requirement for improved grid dependability have made it necessary to create cutting-edge …

Machine learning driven smart electric power systems: Current trends and new perspectives

MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …

Review on the research and practice of deep learning and reinforcement learning in smart grids

D Zhang, X Han, C Deng - CSEE Journal of Power and Energy …, 2018 - ieeexplore.ieee.org
Smart grids are the developmental trend of power systems and they have attracted much
attention all over the world. Due to their complexities, and the uncertainty of the smart grid …

Deep learning methods and applications for electrical power systems: A comprehensive review

AK Ozcanli, F Yaprakdal… - International Journal of …, 2020 - Wiley Online Library
Over the past decades, electric power systems (EPSs) have undergone an evolution from an
ordinary bulk structure to intelligent flexible systems by way of advanced electronics and …

Deep learning in electrical utility industry: A comprehensive review of a decade of research

M Mishra, J Nayak, B Naik, A Abraham - Engineering Applications of …, 2020 - Elsevier
Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …

A survey on deep learning role in distribution automation system: a new collaborative Learning-to-Learning (L2L) concept

M Jafari, A Kavousi-Fard, M Dabbaghjamanesh… - IEEE …, 2022 - ieeexplore.ieee.org
This paper focuses on a powerful and comprehensive overview of Deep Learning (DL)
techniques on Distribution Automation System (DAS) applications to provide a complete …

Deep learning in power systems research: A review

M Khodayar, G Liu, J Wang… - CSEE Journal of Power …, 2020 - ieeexplore.ieee.org
With the rapid growth of power systems measurements in terms of size and complexity,
discovering statistical patterns for a large variety of real-world applications such as …