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Demand Forecasting

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Showing 151–200 of 212 papers

TitleStatusHype
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
Deep Learning for Flight Demand Forecasting—0
Intermittent Demand Forecasting with Renewal Processes—0
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting—0
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network—0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting—0
Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps—0
Demand Forecasting of Individual Probability Density Functions with Machine Learning—0
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network—0
Topology-based Clusterwise Regression for User Segmentation and Demand Forecasting—0
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning—0
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction—0
Demand Forecasting using Long Short-Term Memory Neural Networks—0
ProVe -- Self-supervised pipeline for automated product replacement and cold-starting based on neural language modelsCode0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
Additive stacking for disaggregate electricity demand forecastingCode1
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement—0
A New Decomposition Ensemble Approach for Tourism Demand Forecasting: Evidence from Major Source Countries—0
Tourism Demand Forecasting: An Ensemble Deep Learning Approach—0
Recurrent Transform Learning—0
Intermittent Demand Forecasting with Deep Renewal ProcessesCode0
High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula ProcessesCode0
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
Spatiotemporal Multi-Graph Convolution Networkfor Ride-hailing Demand ForecastingCode1
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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