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Demand Forecasting

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Showing 151–200 of 212 papers

TitleStatusHype
MQRetNN: Multi-Horizon Time Series Forecasting with Retrieval Augmentation—0
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Winters—0
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting—0
Multimodal Neural Network For Demand Forecasting—0
Multimodal Temporal Fusion Transformers Are Good Product Demand Forecasters—0
One Model Fits All: Cross-Region Taxi-Demand Forecasting—0
Optimal Latent Space Forecasting for Large Collections of Short Time Series Using Temporal Matrix Factorization—0
Optimizing Revenue Maximization and Demand Learning in Airline Revenue Management—0
Optimizing Supply Chain Networks with the Power of Graph Neural Networks—0
Practical Skills Demand Forecasting via Representation Learning of Temporal Dynamics—0
Demand Forecasting in Bike-sharing Systems Based on A Multiple Spatiotemporal Fusion Network—0
Predicting Space Tourism Demand Using Explainable AI—0
Predicting travel demand of a bike sharing system using graph convolutional neural networks—0
Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters—0
Probabilistic Demand Forecasting with Graph Neural Networks—0
Probabilistic Multi-Step-Ahead Short-Term Water Demand Forecasting with Lasso—0
Probabilistic water demand forecasting using quantile regression algorithms—0
Recurrent Transform Learning—0
Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand—0
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator—0
Retail Demand Forecasting: A Comparative Study for Multivariate Time Series—0
Revenue Management without Demand Forecasting: A Data-Driven Approach for Bid Price Generation—0
Revolutionizing Retail Analytics: Advancing Inventory and Customer Insight with AI—0
Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants—0
Scalability Optimization in Cloud-Based AI Inference Services: Strategies for Real-Time Load Balancing and Automated Scaling—0
Semantic XAI for contextualized demand forecasting explanations—0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks—0
Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM—0
Ensembling methods for countrywide short term forecasting of gas demand—0
Forecasting residential gas demand: machine learning approaches and seasonal role of temperature forecasts—0
Short-Term Forecasting of Passenger Demand under On-Demand Ride Services: A Spatio-Temporal Deep Learning Approach—0
Short-Term Power Demand Forecasting for Diverse Consumer Types to Enhance Grid Planning and Synchronisation—0
Short-term power load forecasting for integrated energy system based on a residual and attentive LSTM-TCN hybrid network—0
Situational-Aware Multi-Graph Convolutional Recurrent Network (SA-MGCRN) for Travel Demand Forecasting During Wildfires—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
SPADE Split Peak Attention DEcomposition—0
Sparse Regularization in Marketing and Economics—0
Forecasting time series with constraintsCode0
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingCode0
PM-Gati Shakti: Advancing India's Energy Future through Demand Forecasting -- A Case StudyCode0
Any-Quantile Probabilistic Forecasting of Short-Term Electricity DemandCode0
Global Rewards in Multi-Agent Deep Reinforcement Learning for Autonomous Mobility on Demand SystemsCode0
Policy choices can help keep 4G and 5G universal broadband affordableCode0
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
Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating SparsityCode0
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing ApproachCode0
SPDNet: Seasonal-Periodic Decomposition Network for Advanced Residential Demand ForecastingCode0
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided EmbeddingCode0
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