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| An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction | Feb 5, 2023 | Anomaly DetectionLoad Forecasting | —Unverified | 0 | 0 |
| Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach | Apr 16, 2024 | DecoderLoad Forecasting | —Unverified | 0 | 0 |
| Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France | Sep 14, 2020 | Additive modelsLoad Forecasting | —Unverified | 0 | 0 |
| IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting | May 16, 2025 | Computational EfficiencyDeep Learning | —Unverified | 0 | 0 |
| Characterization of electric consumers through an automated clustering pipeline | May 10, 2022 | ClusteringLoad Forecasting | —Unverified | 0 | 0 |
| Analysis of Weather and Time Features in Machine Learning-aided ERCOT Load Forecasting | Oct 13, 2023 | feature selectionLoad Forecasting | —Unverified | 0 | 0 |
| Chance-Constrained AC Optimal Power Flow for Unbalanced Distribution Grids | Jul 19, 2022 | Load Forecasting | —Unverified | 0 | 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 | 0 |
| A multi-source data power load forecasting method using attention mechanism-based parallel cnn-gru | Sep 26, 2024 | Learning TheoryLoad Forecasting | —Unverified | 0 | 0 |
