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Demand Forecasting

Papers

Showing 151200 of 212 papers

TitleStatusHype
Model retraining and information sharing in a supply chain with long-term fluctuating demands0
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation0
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters0
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting0
Multimodal Neural Network For Demand Forecasting0
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters0
One Model Fits All: Cross-Region Taxi-Demand Forecasting0
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization0
Optimizing Revenue Maximization and Demand Learning in Airline Revenue Management0
Optimizing Supply Chain Networks with the Power of Graph Neural Networks0
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics0
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network0
Predicting Space Tourism Demand Using Explainable AI0
Predicting travel demand of a bike sharing system using graph convolutional neural networks0
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters0
Probabilistic Demand Forecasting with Graph Neural Networks0
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso0
Probabilistic water demand forecasting using quantile regression algorithms0
Recurrent Transform Learning0
Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand0
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator0
Retail Demand Forecasting: A Comparative Study for Multivariate Time Series0
Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation0
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI0
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants0
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling0
Semantic XAI for contextualized demand forecasting explanations0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM0
Ensembling methods for countrywide short term forecasting of gas demand0
Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts0
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network0
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting0
Forecasting time series with constraintsCode0
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series ForecastingCode0
Any-Quantile Probabilistic Forecasting of Short-Term Electricity DemandCode0
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingCode0
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode0
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityCode0
Graph Construction with Flexible Nodes for Traffic Demand PredictionCode0
Forecasting railway ticket demand with search query open dataCode0
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical VehiclesCode0
Adaptive Dependency Learning Graph Neural NetworksCode0
Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand ForecastingCode0
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided EmbeddingCode0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
Probabilistic energy forecasting through quantile regression in reproducing kernel Hilbert spacesCode0
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