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Demand Forecasting

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Showing 101–150 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
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network—0
Predicting Space Tourism Demand Using Explainable AI—0
Predicting travel demand of a bike sharing system using graph convolutional neural networks—0
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters—0
Probabilistic Demand Forecasting with Graph Neural Networks—0
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso—0
Probabilistic water demand forecasting using quantile regression algorithms—0
Recurrent Transform Learning—0
Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand—0
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator—0
Retail Demand Forecasting: A Comparative Study for Multivariate Time Series—0
Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation—0
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI—0
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants—0
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling—0
Semantic XAI for contextualized demand forecasting explanations—0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks—0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM—0
Ensembling methods for countrywide short term forecasting of gas demand—0
Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts—0
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
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