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Demand Forecasting

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Showing 26–50 of 212 papers

TitleStatusHype
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
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
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