| A Meta-learning based Distribution System Load Forecasting Model Selection Framework | Sep 25, 2020 | Load ForecastingMeta-Learning | —Unverified | 0 |
| A Data-Driven Machine Learning Approach for Consumer Modeling with Load Disaggregation | Nov 4, 2020 | BIG-bench Machine Learningenergy trading | —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 |
| Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids | Jul 19, 2022 | Load Forecasting | —Unverified | 0 |
| Characterization of electric consumers through an automated clustering pipeline | May 10, 2022 | ClusteringLoad Forecasting | —Unverified | 0 |
| Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting | Oct 13, 2023 | feature selectionLoad Forecasting | —Unverified | 0 |
| Classification of load forecasting studies by forecasting problem to select load forecasting techniques and methodologies | Dec 21, 2018 | ArticlesClassification | —Unverified | 0 |
| Clustering Enabled Few-Shot Load Forecasting | Feb 16, 2022 | ClusteringLoad Forecasting | —Unverified | 0 |
| Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting | Nov 25, 2024 | Load Forecasting | —Unverified | 0 |
| Crossing Roads of Federated Learning and Smart Grids: Overview, Challenges, and Perspectives | Apr 17, 2023 | Federated LearningLoad Forecasting | —Unverified | 0 |
