| Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach | Oct 16, 2022 | Autonomous VehiclesDemand Forecasting | —Unverified | 0 |
| An XGBoost-Based Forecasting Framework for Product Cannibalization | Nov 24, 2021 | Demand Forecasting | —Unverified | 0 |
| A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago | Sep 8, 2021 | BIG-bench Machine LearningClustering | —Unverified | 0 |
| Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting | Feb 26, 2021 | Bilevel OptimizationDecision Making | —Unverified | 0 |
| Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting | Mar 4, 2019 | Demand ForecastingManagement | —Unverified | 0 |
| Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale | Sep 22, 2017 | Bayesian InferenceDemand Forecasting | —Unverified | 0 |
| News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand | Jan 18, 2023 | Demand ForecastingSociology | —Unverified | 0 |
| ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting | Mar 10, 2018 | Demand ForecastingTime Series | —Unverified | 0 |
| Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review | Dec 29, 2021 | Demand ForecastingLoad Forecasting | —Unverified | 0 |
| Deep Learning based Forecasting: a case study from the online fashion industry | May 23, 2023 | Demand Forecasting | —Unverified | 0 |
