A machine learning based smart grid for home power management using cloud-edge computing system

BM Kavya, N Sharmila, KB Naveen… - … on Recent Advances …, 2023 - ieeexplore.ieee.org
In recent years, a huge amount of data has been communicated between internet of things
(IoT) devices. Apart from these dependencies, many fields such as smart grids, smart cities …

Random forest based power sustainability and cost optimization in smart grid

D Durairaj, Ł Wróblewski, A Sheela… - Production …, 2022 - sciendo.com
Presently power control and management play a vigorous role in information technology
and power management. Instead of non-renewable power manufacturing, renewable power …

[HTML][HTML] Detection of medium-voltage electricity theft types based on robust regression and convolutional neural network

Z Yi, C Min, Z Yang, X Rong, G Chen, L Hua - International Journal of …, 2024 - Elsevier
Electricity theft detection is very important for the economic benefits of power companies and
the effectiveness of safe operation of power systems. At present, the traditional power theft …

A Review of Modern Computational Techniques and Their Role in Power System Stability and Control

W Pavon, M Jaramillo, JC Vasquez - Energies, 2023 - mdpi.com
This paper attempts to elucidate the transformative integration of computational techniques
within power systems, underscoring their critical role in enhancing system modeling, control …

A Novel Detection and Identification Mechanism for Malicious Injection Attacks in Power Systems

H Zhang, X Wang, L Ban, M Sun - Symmetry, 2023 - mdpi.com
The integration of advanced sensor technology and control technology has gradually
improved the operational efficiency of traditional power systems. Due to the undetectability …

A Review and Analysis of Attack and Countermeasure Approaches for Enhancing Smart Grid Cybersecurity

A Meydani, H Shahinzadeh… - 2024 28th …, 2024 - ieeexplore.ieee.org
The Smart Grid (SG) is an advanced power network that facilitates the two-way exchange of
energy and information between consumers and providers. The field of cyber-physical smart …

[HTML][HTML] A Review of Power System False Data Attack Detection Technology Based on Big Data

Z Chang, J Wu, H Liang, Y Wang, Y Wang, X Xiong - Information, 2024 - mdpi.com
As power big data plays an increasingly important role in the operation, maintenance, and
management of power systems, complex and covert false data attacks pose a serious threat …

A Novel False Measurement Data Detection Mechanism for Smart Grids

MA Shahid, F Ahmad, R Nawaz, SU Khan, A Wadood… - Energies, 2023 - mdpi.com
With the growing cyber-infrastructure of smart grids, the threat of cyber-attacks has
intensified, posing an increased risk of compromised communication links. Of particular …

Simultaneous Detection and Estimation of False Data Injection Attacks in Cyber-Physical Battery Systems using a Learning Observer

W Chen, F Lin - 2023 International Conference on Control …, 2023 - ieeexplore.ieee.org
This work is to present a learning observer-based method for simultaneous detection and
estimation of false data injection attacks (FDIAs) to the cyber-physical battery systems. The …

Application of machine learning algorithm in managing deviant consumer behaviors and enhancing public service.

S Dubey, P Salwan, NK Agarwal - Journal of Global Information …, 2021 - igi-global.com
Consumer-deviant behavior costs global utility firms USD 96 billion yearly, attributable to
Non-Technical Losses (NTLs). NTLs affect the operations of power systems by overloading …