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Demand Forecasting

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Showing 26–50 of 212 papers

TitleStatusHype
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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