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Demand Forecasting

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Showing 26–50 of 212 papers

TitleStatusHype
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand—0
ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting—0
Artificial Intelligence and Statistical Techniques in Short-Term Load Forecasting: A Review—0
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting—0
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago—0
Deep Learning for Flight Demand Forecasting—0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
Automated Demand Forecasting in small to medium-sized enterprises—0
A New Decomposition Ensemble Approach for Tourism Demand Forecasting: Evidence from Major Source Countries—0
Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands—0
Bayesian Intermittent Demand Forecasting for Large Inventories—0
Causal Forecasting for Pricing—0
Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning—0
Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
Consumer Transactions Simulation through Generative Adversarial Networks—0
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea—0
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement—0
Australia's long-term electricity demand forecasting using deep neural networks—0
A Trainable Reconciliation Method for Hierarchical Time-Series—0
Deep Learning for Energy Time-Series Analysis and Forecasting—0
A machine learning approach to itinerary-level booking prediction in competitive airline markets—0
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