[HTML][HTML] Artificial intelligence techniques for enabling Big Data services in distribution networks: A review
Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …
systems by extracting value from the data generated by the deployed metering and sensing …
Non-technical losses: A systematic contemporary article review
Non-technical losses refer to all electricity consumption not billed and represent a significant
problem that has consequences to all sectors and a substantial negative impact on some …
problem that has consequences to all sectors and a substantial negative impact on some …
[HTML][HTML] Theft detection dataset for benchmarking and machine learning based classification in a smart grid environment
Smart meters are key elements of a smart grid. These data from Smart Meters can help us
analyze energy consumption behaviour. The machine learning and deep learning …
analyze energy consumption behaviour. The machine learning and deep learning …
[HTML][HTML] A novel feature engineered-CatBoost-based supervised machine learning framework for electricity theft detection
This paper presents a novel supervised machine learning-based electric theft detection
approach using the feature engineered-CatBoost algorithm in conjunction with the …
approach using the feature engineered-CatBoost algorithm in conjunction with the …
[HTML][HTML] Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market
The economic sector is one of the most important pillars of countries. Economic activities of
industry are intimately linked with the ability to meet their needs for electricity. Therefore …
industry are intimately linked with the ability to meet their needs for electricity. Therefore …
[HTML][HTML] Systematic review of energy theft practices and autonomous detection through artificial intelligence methods
Energy theft poses a significant challenge for all parties involved in energy distribution, and
its detection is crucial for maintaining stable and financially sustainable energy grids. One …
its detection is crucial for maintaining stable and financially sustainable energy grids. One …
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 …
illegal customers use energy from electric utilities without a contract or manipulate their …
Electricity theft detection in low-voltage stations based on similarity measure and DT-KSVM
X Kong, X Zhao, C Liu, Q Li, DL Dong, Y Li - International Journal of …, 2021 - Elsevier
The theft of electricity affects power supply quality and safety of grid operation, and non-
technical losses (NTL) have become the major reason of unfair power supply and economic …
technical losses (NTL) have become the major reason of unfair power supply and economic …
A combined genetic optimization with AdaBoost ensemble model for anomaly detection in buildings electricity consumption
Z Qu, H Liu, Z Wang, J Xu, P Zhang, H Zeng - Energy and Buildings, 2021 - Elsevier
Buildings account for a significant portion of the world's electricity consumption, including
industrial, commercial, residential, hospital buildings, etc. During building operation …
industrial, commercial, residential, hospital buildings, etc. During building operation …
An adaptive synthesis to handle imbalanced big data with deep siamese network for electricity theft detection in smart grids
The bi-directional flow of energy and information in the smart grid makes it possible to record
and analyze the electricity consumption profiles of consumers. Because of the increasing …
and analyze the electricity consumption profiles of consumers. Because of the increasing …