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Demand Forecasting

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Showing 126–150 of 212 papers

TitleStatusHype
Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit—0
Improving hotel room demand forecasting with a hybrid GA-SVR methodology based on skewed data transformation, feature selection and parsimony tuning—0
Inertial Regularization and Selection (IRS): Sequential Regression in High-Dimension and Sparsity—0
Influence of introducing high speed railways on intercity travel behavior in Vietnam—0
Intermittent Demand Forecasting with Renewal Processes—0
Inter-Series Transformer: Attending to Products in Time Series Forecasting—0
Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework—0
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network—0
Large-Scale Price Optimization via Network Flow—0
Learning Citywide Patterns of Life from Trajectory Monitoring—0
Learning Spatiotemporal Features of Ride-sourcing Services with Fusion Convolutional Network—0
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence—0
Leveraging Graph Neural Networks to Forecast Electricity Consumption—0
Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction—0
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data—0
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data—0
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting—0
Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps—0
Machine Learning Approaches to Energy Consumption Forecasting in Households—0
Machine Learning for Air Transport Planning and Management—0
Masked Multi-Step Multivariate Time Series Forecasting with Future Information—0
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand—0
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model—0
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model—0
Model retraining and information sharing in a supply chain with long-term fluctuating demands—0
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