| Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions | Jan 25, 2023 | Demand Forecasting | —Unverified | 0 |
| High-dimensional Time Series Prediction with Missing Values | Sep 28, 2015 | Demand ForecastingMatrix Completion | —Unverified | 0 |
| HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting | Jan 10, 2024 | DecoderDemand Forecasting | —Unverified | 0 |
| Household Electricity Demand Forecasting -- Benchmarking State-of-the-Art Methods | Apr 1, 2014 | BenchmarkingDemand Forecasting | —Unverified | 0 |
| How Do Consumers Really Choose: Exposing Hidden Preferences with the Mixture of Experts Model | Mar 3, 2025 | Decision MakingDemand Forecasting | —Unverified | 0 |
| Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit | Apr 27, 2021 | Demand ForecastingManagement | —Unverified | 0 |
| Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning | Sep 6, 2017 | Demand Forecastingfeature selection | —Unverified | 0 |
| Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity | Oct 23, 2016 | Demand ForecastingModel Selection | —Unverified | 0 |
| Influence of introducing high speed railways on intercity travel behavior in Vietnam | Sep 29, 2018 | Demand Forecasting | —Unverified | 0 |
| Intermittent Demand Forecasting with Renewal Processes | Oct 4, 2020 | ClusteringDemand Forecasting | —Unverified | 0 |
