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 …
Electricity theft detection in smart grids using a hybrid BiGRU–BiLSTM model with feature engineering-based preprocessing
In this paper, a defused decision boundary which renders misclassification issues due to the
presence of cross-pairs is investigated. Cross-pairs retain cumulative attributes of both …
presence of cross-pairs is investigated. Cross-pairs retain cumulative attributes of both …
Explainable artificial intelligence for prediction of non-technical losses in electricity distribution networks
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 …
developing countries especially sub-saharan Africa. Whereas several studies have …
Short term energy consumption forecasting using neural basis expansion analysis for interpretable time series
Smart grids and smart homes are getting people's attention in the modern era of smart cities.
The advancements of smart technologies and smart grids have created challenges related …
The advancements of smart technologies and smart grids have created challenges related …
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 …
Novel FDIs-based data manipulation and its detection in smart meters' electricity theft scenarios
Non-technical loss is a serious issue around the globe. Consumers manipulate their smart
meter (SM) data to under-report their readings for financial benefit. Various manipulation …
meter (SM) data to under-report their readings for financial benefit. Various manipulation …
Machine intelligence aware electricity theft detection for smart metering applications
Electricity theft detection (ETD) is a serious issue and needs proper attention to investigate
and detect the fraudulent consumers. Fraudulent consumers steal electricity and …
and detect the fraudulent consumers. Fraudulent consumers steal electricity and …
[PDF][PDF] AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids
MU JAVED, AS YAHAYA - academia.edu
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 …