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Demand Forecasting

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Showing 76–100 of 212 papers

TitleStatusHype
Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning—0
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System—0
Fairness-enhancing deep learning for ride-hailing demand prediction—0
Causal Forecasting for Pricing—0
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting—0
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting—0
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks—0
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data—0
Flight Demand Forecasting with Transformers—0
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago—0
Exploring the impact of weather on Metro demand forecasting using machine learning method—0
Exploring Quantum Neural Networks for Demand Forecasting—0
Bayesian Intermittent Demand Forecasting for Large Inventories—0
Generative AI in Transportation Planning: A Survey—0
GeoTransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attention—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Enriching Artificial Intelligence Explanations with Knowledge Fragments—0
Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands—0
An Exponential Factorization Machine with Percentage Error Minimization to Retail Sales Forecasting—0
Travel Demand Forecasting: A Fair AI Approach—0
Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction—0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Energy Predictive Models with Limited Data using Transfer Learning—0
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