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Demand Forecasting

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Showing 51–100 of 212 papers

TitleStatusHype
Leveraging World Events to Predict E-Commerce Consumer Demand under AnomalyCode0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks—0
Any-Quantile Probabilistic Forecasting of Short-Term Electricity DemandCode0
GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks—0
Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning—0
Scalable Spatiotemporal Prediction with Bayesian Neural FieldsCode2
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting—0
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI—0
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters—0
Probabilistic Demand Forecasting with Graph Neural Networks—0
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting—0
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System—0
Deep Convolutional Neural Networks for Short-Term Multi-Energy Demand Prediction of Integrated Energy Systems—0
Causal Forecasting for Pricing—0
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode0
Adaptive Dependency Learning Graph Neural NetworksCode0
Textual-Knowledge-Guided Numerical Feature Discovery Method for Power Demand Forecasting—0
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
Algorithmic Decision-Making Safeguarded by Human Knowledge—0
Exploring the impact of weather on Metro demand forecasting using machine learning method—0
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble—0
Multimodal Neural Network For Demand Forecasting—0
Towards More Efficient Shared Autonomous Mobility: A Learning-Based Fleet Repositioning Approach—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
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