Smart meters for smart energy: a review of business intelligence applications
Smart Energy (SE) has emerged as a critical technology in tackling global challenges like
climate change while addressing the rising energy demands driven by today's data …
climate change while addressing the rising energy demands driven by today's data …
Alexnet, adaboost and artificial bee colony based hybrid model for electricity theft detection in smart grids
Electricity theft (ET) is an utmost problem for power utilities because it threatens public
safety, disturbs the normal working of grid infrastructure and increases revenue losses. In …
safety, disturbs the normal working of grid infrastructure and increases revenue losses. In …
Pattern-based and context-aware electricity theft detection in smart grid
RK Ahir, B Chakraborty - Sustainable Energy, Grids and Networks, 2022 - Elsevier
The smart grid offers numerous potential benefits for energy management by two-way
information transmission. However, the incorporation of smart infrastructure such as smart …
information transmission. However, the incorporation of smart infrastructure such as smart …
AI Techniques in Detection of NTLs: A Comprehensive Review
In the operation of power grid, worldwide, non-technical losses (NTLs) occur in a massive
amount of proportion which is observed up to 40% of the total electric transmission and …
amount of proportion which is observed up to 40% of the total electric transmission and …
Adaptive data balancing method using stacking ensemble model and its application to non-technical loss detection in smart grids
A stacking ensemble model (SEM) is proposed in this paper to identify non-technical losses.
Three layers make up the proposed model. Data pre-processing is performed at the first …
Three layers make up the proposed model. Data pre-processing is performed at the first …
A novel deep learning technique to detect electricity theft in smart grids using AlexNet
Electricity theft (ET), which endangers public safety, interferes with the regular operation of
grid infrastructure, and increases revenue losses, is a significant issue for power companies …
grid infrastructure, and increases revenue losses, is a significant issue for power companies …
Empirical mode decomposition-based multi-scale spectral graph convolution network for abnormal electricity consumption detection
S Meng, C Li, W Peng, C Tian - Neural Computing and Applications, 2023 - Springer
Abnormal electricity consumption detection is of great significance for maintaining the safe
and stable operation of the power grids, or for reducing the irregular electricity consumption …
and stable operation of the power grids, or for reducing the irregular electricity consumption …
A self-decision ant colony clustering algorithm for electricity theft detection
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 …
to those of normal consumers, making these electricity-theft consumers outliers from the …
Optimization algorithms in smart grids: A systematic literature review
Electrical smart grids are units that supply electricity from power plants to the users to yield
reduced costs, power failures/loss, and maximized energy management. Smart grids (SGs) …
reduced costs, power failures/loss, and maximized energy management. Smart grids (SGs) …
[HTML][HTML] Electricity Theft Detection and Prevention Using Technology-Based Models: A Systematic Literature Review
PM Kgaphola, SM Marebane, RT Hans - Electricity, 2024 - mdpi.com
Electricity theft comes with various disadvantages for power utilities, governments,
businesses, and the general public. This continues despite the various solutions employed …
businesses, and the general public. This continues despite the various solutions employed …