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Demand Forecasting

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Showing 176–200 of 212 papers

TitleStatusHype
Hierarchical Demand Forecasting Benchmark for the Distribution Grid—0
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective—0
Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand ForecastingCode0
Energy Predictive Models with Limited Data using Transfer Learning—0
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting—0
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided EmbeddingCode0
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingCode0
Demand forecasting techniques for build-to-order lean manufacturing supply chains—0
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series ForecastingCode0
Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network—0
Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting—0
Ensembling methods for countrywide short term forecasting of gas demand—0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks—0
Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts—0
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand ForecastingCode0
Influence of introducing high speed railways on intercity travel behavior in Vietnam—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator—0
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy—0
Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
Australia's long-term electricity demand forecasting using deep neural networks—0
Utilizing artificial neural networks to predict demand for weather-sensitive products at retail stores—0
Multi-way Interacting Regression via Factorization MachinesCode0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
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