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Demand Forecasting

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Showing 1–50 of 212 papers

TitleStatusHype
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and BenchmarksCode2
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh RetailCode1
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging DemandCode1
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and BenchmarkingCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Graph Neural Network for Traffic Forecasting: A SurveyCode1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
Additive stacking for disaggregate electricity demand forecastingCode1
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting—0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—0
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data—0
AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective—0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties—0
Deep Learning based Forecasting: a case study from the online fashion industry—0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions—0
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting—0
Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things—0
An XGBoost-Based Forecasting Framework for Product Cannibalization—0
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting—0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review—0
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting—0
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago—0
Deep Learning for Flight Demand Forecasting—0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
Automated Demand Forecasting in small to medium-sized enterprises—0
A New Decomposition Ensemble Approach for Tourism Demand Forecasting: Evidence from Major Source Countries—0
Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands—0
Bayesian Intermittent Demand Forecasting for Large Inventories—0
Causal Forecasting for Pricing—0
Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning—0
Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
Consumer Transactions Simulation through Generative Adversarial Networks—0
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea—0
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement—0
Australia's long-term electricity demand forecasting using deep neural networks—0
A Trainable Reconciliation Method for Hierarchical Time-Series—0
Deep Learning for Energy Time-Series Analysis and Forecasting—0
A machine learning approach to itinerary-level booking prediction in competitive airline markets—0
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