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Demand Forecasting

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Showing 51–75 of 212 papers

TitleStatusHype
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—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 Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets—0
A Bayesian Approach for Predicting Food and Beverage Sales in Staff Canteens and Restaurants—0
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction—0
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis—0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Demand Forecasting in Smart Grid Using Long Short-Term Memory—0
Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model—0
Demand Forecasting of Individual Probability Density Functions with Machine Learning—0
Demand forecasting techniques for build-to-order lean manufacturing supply chains—0
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement—0
An XGBoost-Based Forecasting Framework for Product Cannibalization—0
Consumer Transactions Simulation through Generative Adversarial Networks—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics—0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions—0
Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning—0
Causal Forecasting for Pricing—0
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting—0
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago—0
Bayesian Intermittent Demand Forecasting for Large Inventories—0
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