| Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids | Mar 28, 2023 | Defect DetectionFault Detection | —Unverified | 0 |
| In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance | Feb 25, 2023 | Load ForecastingOut-of-Distribution Generalization | —Unverified | 0 |
| A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers | Feb 23, 2023 | Load ForecastingTime Series | —Unverified | 0 |
| Frugal day-ahead forecasting of multiple local electricity loads by aggregating adaptive models | Feb 16, 2023 | Additive modelsLoad Forecasting | —Unverified | 0 |
| Information Theoretical Importance Sampling Clustering | Feb 9, 2023 | ClusteringLoad Forecasting | —Unverified | 0 |
| An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction | Feb 5, 2023 | Anomaly DetectionLoad Forecasting | —Unverified | 0 |
| Multi Feature Data Fusion-Based Load Forecasting of Electric Vehicle Charging Stations Using a Deep Learning Model | Jan 31, 2023 | Load ForecastingPrediction | —Unverified | 0 |
| Transfer Learning in Deep Learning Models for Building Load Forecasting: Case of Limited Data | Jan 25, 2023 | Deep LearningLoad Forecasting | CodeCode Available | 0 |
| Adaptive Probabilistic Forecasting of Electricity (Net-)Load | Jan 24, 2023 | Load ForecastingUncertainty Quantification | —Unverified | 0 |
| Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting | Jan 4, 2023 | Adversarial AttackLoad Forecasting | CodeCode Available | 0 |
