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Demand Forecasting

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Showing 1–50 of 212 papers

TitleStatusHype
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and BenchmarksCode2
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh RetailCode1
Additive stacking for disaggregate electricity demand forecastingCode1
Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging DemandCode1
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and BenchmarkingCode1
Graph Neural Network for Traffic Forecasting: A SurveyCode1
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Continuous-Time and Multi-Level Graph Representation Learning for Origin-Destination Demand PredictionCode1
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesCode0
Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand ForecastingCode0
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing ApproachCode0
Policy choices can help keep 4G and 5G universal broadband affordableCode0
Any-Quantile Probabilistic Forecasting of Short-Term Electricity DemandCode0
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series ForecastingCode0
Intermittent Demand Forecasting with Deep Renewal ProcessesCode0
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingCode0
ProVe -- Self-supervised pipeline for automated product replacement and cold-starting based on neural language modelsCode0
Adaptive Dependency Learning Graph Neural NetworksCode0
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical VehiclesCode0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting -- A Case StudyCode0
Supply Chain Forecasting in a Fast-Moving Global Economy: Review, Limits and Future DirectionsCode0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
Leveraging World Events to Predict E-Commerce Consumer Demand under AnomalyCode0
Forecasting time series with constraintsCode0
Multi-way Interacting Regression via Factorization MachinesCode0
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode0
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided EmbeddingCode0
Forecasting railway ticket demand with search query open dataCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand ForecastingCode0
Temporal Regularized Matrix Factorization for High-dimensional Time Series PredictionCode0
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting—0
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review—0
AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand—0
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data—0
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting—0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting—0
Deep Learning for Energy Time-Series Analysis and Forecasting—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
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
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