Browsing Computer Engineering by Subject "Boosting, Convolutional neural networks, Data models, DenseNet-fully convolutional network, electricity theft detection, Feature extraction, Fraud, gated recurrent unit, light gradient boosting method, Logic gates, Machine learning, machine learning, Meters, oversampling, smart grids, Smart grids"
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A Novel Combined DenseNet and Gated Recurrent Unit Approach to Detect Energy Thefts in Smart Grids
(Institute of Electrical and Electronics Engineers Inc., 2023)Due to the illegal use of electricity, non-technical losses are exponentially increasing in electricity distribution systems day by day. With the debut of smart meters in the smart grid, new electricity theft attacks are ...