| Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting | Nov 14, 2021 | ClusteringEdge-computing | —Unverified | 0 |
| Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting | Oct 28, 2021 | Load Forecasting | —Unverified | 0 |
| Improving Load Forecast in Energy Markets During COVID-19 | Oct 1, 2021 | Load Forecasting | —Unverified | 0 |
| State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting | Oct 1, 2021 | BIG-bench Machine LearningDemand Forecasting | —Unverified | 0 |
| Short-Term Load Forecasting Using Time Pooling Deep Recurrent Neural Network | Sep 26, 2021 | Load ForecastingManagement | —Unverified | 0 |
| Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning | Sep 25, 2021 | energy managementLoad Forecasting | —Unverified | 0 |
| AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI | Sep 13, 2021 | BIG-bench Machine Learningenergy management | —Unverified | 0 |
| Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach | Aug 25, 2021 | Decoderfeature selection | —Unverified | 0 |
| A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain | Aug 5, 2021 | energy managementLoad Forecasting | —Unverified | 0 |
| Random vector functional link neural network based ensemble deep learning for short-term load forecasting | Jul 30, 2021 | Load ForecastingRepresentation Learning | —Unverified | 0 |
