| High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks | Mar 7, 2022 | Additive modelsLoad Forecasting | —Unverified | 0 |
| HOPS: High-order Polynomials with Self-supervised Dimension Reduction for Load Forecasting | Jan 18, 2025 | Computational EfficiencyDimensionality Reduction | —Unverified | 0 |
| Short-Term Load Forecasting Using AMI Data | Dec 28, 2019 | Load Forecasting | —Unverified | 0 |
| Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities | Jan 31, 2025 | energy managementLoad Forecasting | —Unverified | 0 |
| Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation | Jul 1, 2020 | Load Forecasting | —Unverified | 0 |
| Information Theoretical Importance Sampling Clustering | Feb 9, 2023 | ClusteringLoad Forecasting | —Unverified | 0 |
| Improve Load Forecasting in Energy Communities through Transfer Learning using Open-Access Synthetic Profiles | Jul 11, 2024 | Load ForecastingModel Predictive Control | —Unverified | 0 |
| Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid | Oct 13, 2024 | Edge-computingFederated Learning | —Unverified | 0 |
| Improving Load Forecast in Energy Markets During COVID-19 | Oct 1, 2021 | Load Forecasting | —Unverified | 0 |
| Improving Power Generation Efficiency using Deep Neural Networks | Jun 16, 2016 | Load Forecasting | —Unverified | 0 |
