| Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks | Nov 13, 2024 | Anomaly DetectionDemand Forecasting | CodeCode Available | 2 |
| Scalable Spatiotemporal Prediction with Bayesian Neural Fields | Mar 12, 2024 | Bayesian InferenceDemand Forecasting | CodeCode Available | 2 |
| Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand Prediction | Jun 30, 2022 | Demand ForecastingGraph Representation Learning | CodeCode Available | 1 |
| Additive stacking for disaggregate electricity demand forecasting | May 20, 2020 | Demand ForecastingManagement | CodeCode Available | 1 |
| Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand | Jun 21, 2021 | Demand ForecastingSpatio-Temporal Forecasting | CodeCode Available | 1 |
| A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewards | Jun 18, 2022 | Computational EfficiencyDemand Forecasting | CodeCode Available | 1 |
| Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking | Jun 17, 2024 | BenchmarkingDemand Forecasting | CodeCode Available | 1 |
| FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail | May 22, 2025 | Demand ForecastingImputation | CodeCode Available | 1 |
| Graph Neural Network for Traffic Forecasting: A Survey | Jan 27, 2021 | Demand ForecastingGraph Attention | CodeCode Available | 1 |
| Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand Forecasting | Jan 20, 2019 | Demand ForecastingSpatio-Temporal Forecasting | CodeCode Available | 1 |
| A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting | Sep 25, 2020 | Demand ForecastingGraph Neural Network | —Unverified | 0 |
| A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment | Dec 19, 2024 | Bayesian OptimizationDemand Forecasting | —Unverified | 0 |
| Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data | Jun 19, 2024 | Demand ForecastingSynthetic Data Generation | —Unverified | 0 |
| AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study | Jul 8, 2025 | Demand Forecastingenergy management | —Unverified | 0 |
| A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants | May 26, 2020 | Additive modelsDemand Forecasting | —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 |
| Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things | Jun 22, 2024 | Decision MakingDemand Forecasting | —Unverified | 0 |
| A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions | Feb 13, 2025 | Demand ForecastingHumanitarian | —Unverified | 0 |
| A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting | Mar 25, 2025 | Demand ForecastingManagement | —Unverified | 0 |
| 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 |
| Deep Learning based Forecasting: a case study from the online fashion industry | May 23, 2023 | Demand Forecasting | —Unverified | 0 |
