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 …

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 …

[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 …

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 …

Applications of physics-informed neural networks in power systems-a review

B Huang, J Wang - IEEE Transactions on Power Systems, 2022 - ieeexplore.ieee.org
The advances of deep learning (DL) techniques bring new opportunities to numerous
intractable tasks in power systems (PSs). Nevertheless, the extension of the application of …

[HTML][HTML] Deep learning for power quality

RA de Oliveira, MHJ Bollen - Electric Power Systems Research, 2023 - Elsevier
This paper aims to introduce deep learning to the power quality community by reviewing the
latest applications and discussing the open challenges of this technology. Publications …

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 …

Physics-guided deep neural networks for power flow analysis

X Hu, H Hu, S Verma, ZL Zhang - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
Solving power flow (PF) equations is the basis of power flow analysis, which is important in
determining the best operation of existing systems, performing security analysis, etc …

A novel deep learning method for the classification of power quality disturbances using deep convolutional neural network

S Wang, H Chen - Applied energy, 2019 - Elsevier
With the integration of multiple energy systems, there are more and more deterioration risks
of power quality in different energy production, transformation, delivery and consumption …

Review on deep learning applications in frequency analysis and control of modern power system

Y Zhang, X Shi, H Zhang, Y Cao, V Terzija - International Journal of …, 2022 - Elsevier
The penetration of renewable energy resources (RES) generation and the interconnection of
regional power grids in wide area and large scale have led the modern power system to …