Performance analysis of electricity theft detection for the smart grid: An overview

Z Yan, H Wen - IEEE Transactions on Instrumentation and …, 2021 - ieeexplore.ieee.org
Electricity theft has been a growing concern for the smart grid. It can be defined as follows:
illegal customers use energy from electric utilities without a contract or manipulate their …

Intelligent deep learning techniques for energy consumption forecasting in smart buildings: a review

R Mathumitha, P Rathika, K Manimala - Artificial Intelligence Review, 2024 - Springer
Urbanization increases electricity demand due to population growth and economic activity.
To meet consumer's demands at all times, it is necessary to predict the future building …

[PDF][PDF] COMSATS University Islamabad

M Ali, B Tariq - 2022 - researchgate.net
1 Energy management and efficient asset utilization play an important role in the economic
development of a country. The electricity produced at the power station faces two types of …

Data-Driven Machine Learning Methods for Nontechnical Losses of Electrical Energy Detection: A State-of-the-Art Review

A Pazderin, F Kamalov, PY Gubin, M Safaraliev… - Energies, 2023 - mdpi.com
Nontechnical losses of electrical energy (NTLEE) have been a persistent issue in both the
Russian and global electric power industries since the end of the 20th century. Every year …

Explainable artificial intelligence for prediction of non-technical losses in electricity distribution networks

O Nwafor, E Okafor, AA Aboushady, C Nwafor… - IEEe …, 2023 - ieeexplore.ieee.org
There is a growing concern about the high degree of non-technical losses (NTL) in
developing countries especially sub-saharan Africa. Whereas several studies have …

A new intelligent charging strategy in a stationary hydrogen energy-based power plant for optimal demand side management of plug-in EVs

R Çakmak, H Meral, G Bayrak - International Journal of Hydrogen Energy, 2024 - Elsevier
Stationary hydrogen energy-based power plants generating electricity to supply high-
powered plug-in electric vehicles (PEVs) have recently become popular in renewable …

Look-up table based FHE system for privacy preserving anomaly detection in smart grids

R Li, S Bhattacharjee, SK Das… - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
In advanced metering infrastructure (AMI), the customers' power consumption data is
considered private but needs to be revealed to data-driven attack detection frameworks. In …

A self-decision ant colony clustering algorithm for electricity theft detection

Z Yang, L Liu, N Li, H Li - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
The load data features of some electricity-theft consumers during the theft period are similar
to those of normal consumers, making these electricity-theft consumers outliers from the …

Data-Driven Approaches for Energy Theft Detection: A Comprehensive Review

S Kim, Y Sun, S Lee, J Seon, B Hwang, J Kim, J Kim… - Energies, 2024 - mdpi.com
The transition to smart grids has served to transform traditional power systems into
datadriven power systems. The purpose of this transition is to enable effective energy …

An Improved Discrete Jaya Algorithm for Shortest Path Problems in Transportation-Related Processes

R Wang, M Zhou, J Wang, K Gao - Processes, 2023 - mdpi.com
Shortest path problems are encountered in many engineering applications, eg, intelligent
transportation, robot path planning, and smart logistics. The environmental changes as …