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Demand Forecasting

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Showing 101–125 of 212 papers

TitleStatusHype
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
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation—0
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters—0
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting—0
Multimodal Neural Network For Demand Forecasting—0
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters—0
One Model Fits All: Cross-Region Taxi-Demand Forecasting—0
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization—0
Optimizing Revenue Maximization and Demand Learning in Airline Revenue Management—0
Optimizing Supply Chain Networks with the Power of Graph Neural Networks—0
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics—0
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