Cybersecurity | Smart Grids Deep Anomaly Detection Framework Utilizing Federated Learning for Electricity Theft Zero-Day Cyberattacks. May 25, 2024
Data Science | Electrical Engineering | Smart Grids RNN-BiLSTM-CRF based amalgamated deep learning model for electricity theft detection to secure smart grids. March 4, 2024
Electrical Engineering | Energy Consumption | Smart Grids Non-invasive load monitoring based on deep learning to identify unknown loads. February 9, 2024
Electricity Theft Detection | Smart Grids A novel data balancing approach and a deep fractal network with light gradient boosting approach for theft detection in smart grids. September 8, 2023
Artificial Intelligence | Data Science | Smart Grids An Insight of Deep Learning Based Demand Forecasting in Smart Grids. February 11, 2023
Artificial Intelligence | Smart Grids Deep Reinforcement Learning for the Detection of Abnormal Data in Smart Meters. November 11, 2022
Power Systems | Smart Grids Deep Federated Adaptation: An Adaptative Residential Load Forecasting Approach with Federated Learning. May 23, 2022
Data Science | Electricity Grids | Smart Grids Non-Technical Loss Detection in Power Grids with Statistical Profile Images Based on Semi-Supervised Learning. January 7, 2020