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Demand Forecasting

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TitleStatusHype
AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
ADFormer: Aggregation Differential Transformer for Passenger Demand ForecastingCode0
FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh RetailCode1
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling—0
Why do zeroes happen? A model-based approach for demand classification—0
AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting—0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence—0
Combating the Bullwhip Effect in Rival Online Food Delivery Platforms Using Deep Learning—0
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting—0
PA-CFL: Privacy-Adaptive Clustered Federated Learning for Transformer-Based Sales Forecasting on Heterogeneous Retail Data—0
Generative AI in Transportation Planning: A Survey—0
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting—0
Predicting Space Tourism Demand Using Explainable AI—0
How Do Consumers Really Choose: Exposing Hidden Preferences with the Mixture of Experts Model—0
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction—0
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis—0
Forecasting time series with constraintsCode0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions—0
The Potential of Large Language Models in Supply Chain Management: Advancing Decision-Making, Efficiency, and Innovation—0
Optimizing Supply Chain Networks with the Power of Graph Neural Networks—0
Automated Demand Forecasting in small to medium-sized enterprises—0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment—0
LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data—0
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