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Demand Forecasting

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Showing 1–50 of 212 papers

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
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and BenchmarksCode2
SPADE Split Peak Attention DEcomposition—0
Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction—0
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting—0
Exploring Quantum Neural Networks for Demand Forecasting—0
Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model—0
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting—0
Leveraging Graph Neural Networks to Forecast Electricity Consumption—0
Predicting travel demand of a bike sharing system using graph convolutional neural networks—0
GeoTransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attention—0
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesCode0
Consumer Transactions Simulation through Generative Adversarial Networks—0
Inter-Series Transformer: Attending to Products in Time Series Forecasting—0
Time series forecasting with high stakes: A field study of the air cargo industry—0
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityCode0
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data—0
Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of Things—0
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data—0
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and BenchmarkingCode1
Stacking for Probabilistic Short-term Load Forecasting—0
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants—0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM—0
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph—0
MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model—0
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