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Demand Forecasting

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Showing 76–100 of 212 papers

TitleStatusHype
Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System—0
One Model Fits All: Cross-Region Taxi-Demand Forecasting—0
XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility—0
Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks—0
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network—0
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical VehiclesCode0
Supply Chain Forecasting in a Fast-Moving Global Economy: Review, Limits and Future DirectionsCode0
Retail Demand Forecasting: A Comparative Study for Multivariate Time Series—0
PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting -- A Case StudyCode0
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting—0
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters—0
Deep Learning for Energy Time-Series Analysis and Forecasting—0
Mitigating Cold-start Forecasting using Cold Causal Demand Forecasting Model—0
Deep Learning based Forecasting: a case study from the online fashion industry—0
Stochastic MPC for energy hubs using data driven demand forecasting—0
Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation—0
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Fairness-enhancing deep learning for ride-hailing demand prediction—0
Travel Demand Forecasting: A Fair AI Approach—0
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing ApproachCode0
Masked Multi-Step Probabilistic Forecasting for Short-to-Mid-Term Electricity Demand—0
Hierarchical Regularizers for Reverse Unrestricted Mixed Data Sampling Regressions—0
News and Load: A Quantitative Exploration of Natural Language Processing Applications for Forecasting Day-ahead Electricity System Demand—0
Forecasting railway ticket demand with search query open dataCode0
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