| 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 |
| Contextually Enhanced ES-dRNN with Dynamic Attention for Short-Term Load Forecasting | Dec 18, 2022 | Load ForecastingTime Series | CodeCode Available | 0 |
| Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble | Oct 24, 2022 | Demand ForecastingLoad Forecasting | —Unverified | 0 |
| Probabilistic Forecasting Methods for System-Level Electricity Load Forecasting | Oct 17, 2022 | Load Forecasting | —Unverified | 0 |
| TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning | Oct 5, 2022 | Deep LearningLoad Forecasting | —Unverified | 0 |
| A Secure Federated Learning Framework for Residential Short Term Load Forecasting | Sep 29, 2022 | Demand ForecastingFederated Learning | —Unverified | 0 |
| Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand | Sep 19, 2022 | counterfactualLoad Forecasting | —Unverified | 0 |
| Short-term Load Forecasting with Distributed Long Short-Term Memory | Aug 1, 2022 | Load Forecasting | —Unverified | 0 |
| Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids | Jul 19, 2022 | Load Forecasting | —Unverified | 0 |
