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Demand Forecasting

Papers

Showing 125 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
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Graph Neural Network for Traffic Forecasting: A SurveyCode1
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
Additive stacking for disaggregate electricity demand forecastingCode1
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and BenchmarkingCode1
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging DemandCode1
FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh RetailCode1
Multi-way Interacting Regression via Factorization MachinesCode0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
Leveraging World Events to Predict E-Commerce Consumer Demand under AnomalyCode0
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand ForecastingCode0
Any-Quantile Probabilistic Forecasting of Short-Term Electricity DemandCode0
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityCode0
PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting -- A Case StudyCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Adaptive Dependency Learning Graph Neural NetworksCode0
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Forecasting railway ticket demand with search query open dataCode0
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical VehiclesCode0
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided EmbeddingCode0
Forecasting time series with constraintsCode0
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