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Demand Forecasting

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Showing 101–150 of 212 papers

TitleStatusHype
Tourism Demand Forecasting: An Ensemble Deep Learning Approach—0
Towards Active Learning Based Smart Assistant for Manufacturing—0
Towards Data-Driven Electricity Management: Multi-Region Harmonized Data and Knowledge Graph—0
Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting—0
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
Tsformer: Time series Transformer for tourism demand forecasting—0
Univariate Long-Term Municipal Water Demand Forecasting—0
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting—0
Utilizing artificial neural networks to predict demand for weather-sensitive products at retail stores—0
Utilizing Device-level Demand Forecasting for Flexibility Markets - Full Version—0
Why do zeroes happen? A model-based approach for demand classification—0
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing—0
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting—0
Generative AI in Transportation Planning: A Survey—0
GeoTransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attention—0
GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks—0
GUIM -- General User and Item Embedding with Mixture of Representation in E-commerce—0
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble—0
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction—0
Hierarchical Demand Forecasting Benchmark for the Distribution Grid—0
Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions—0
High-dimensional Time Series Prediction with Missing Values—0
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting—0
Household Electricity Demand Forecasting -- Benchmarking State-of-the-Art Methods—0
How Do Consumers Really Choose: Exposing Hidden Preferences with the Mixture of Experts Model—0
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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