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| Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data | Jun 19, 2024 | Demand ForecastingSynthetic Data Generation | —Unverified | 0 | 0 |
| A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting | Sep 25, 2020 | Demand ForecastingGraph Neural Network | —Unverified | 0 | 0 |
| Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale | Sep 22, 2017 | Bayesian InferenceDemand Forecasting | —Unverified | 0 | 0 |
| Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting | Mar 4, 2019 | Demand ForecastingManagement | —Unverified | 0 | 0 |
| Deep Learning for Energy Time-Series Analysis and Forecasting | Jun 15, 2023 | Deep LearningDemand Forecasting | —Unverified | 0 | 0 |
| Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems | Dec 24, 2023 | Demand ForecastingFederated Learning | —Unverified | 0 | 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 | 0 |
| A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment | Dec 19, 2024 | Bayesian OptimizationDemand Forecasting | —Unverified | 0 | 0 |
| A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants | May 26, 2020 | Additive modelsDemand Forecasting | —Unverified | 0 | 0 |