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Multi-Horizon Time Series Forecasting with Temporal Attention Learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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inferred← citeshttps://doi.org/10.1145/3447548.3467330openalex-snapshot

ST-Norm

inferred← citeshttps://doi.org/10.1145/3447548.3467357openalex-snapshot

Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation

inferred← citeshttps://doi.org/10.1145/3459637.3481942openalex-snapshot

Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks

inferred← citeshttps://doi.org/10.1145/3459637.3482271openalex-snapshot

Learning to Learn the Future

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inferred← citeshttps://doi.org/10.1145/3534678.3539098openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3534678.3539176openalex-snapshot

Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems

inferred← citeshttps://doi.org/10.1145/3539597.3570440openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3543511openalex-snapshot

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inferred← citeshttps://doi.org/10.1145/3584704openalex-snapshot

Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting

inferred← citeshttps://doi.org/10.1145/3587716.3587811openalex-snapshot

Study on Rainfall Runoff Prediction of Basin Based on Digital Twin

inferred← citeshttps://doi.org/10.1145/3637528.3671634openalex-snapshot

Dynamic Pricing for Multi-Retailer Delivery Platforms with Additive Deep Learning and Evolutionary Optimization

inferred← citeshttps://doi.org/10.1145/3653447openalex-snapshot

Deep Coupling Network for Multivariate Time Series Forecasting

inferred← citeshttps://doi.org/10.1145/3663976.3664241openalex-snapshot

Multivariate Time Series Forecasting: A Review

inferred← citeshttps://doi.org/10.1145/3711896.3736881openalex-snapshot

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inferred← citeshttps://doi.org/10.12677/csa.2024.1410207openalex-snapshot

Optimization Analysis of Loss Function Related to Spot Price of Gansu Power Based on RNN

inferred← citeshttps://doi.org/10.1371/journal.pone.0348354openalex-snapshot

Spatiotemporal weather forecasting via multi-scale graph neural networks and latent diffusion models

inferred← citeshttps://doi.org/10.15439/2025f7041openalex-snapshot

A Comparative Study of LSTM Efficiency vs. Transformer Power for Localized Time Series Forecasting

inferred← citeshttps://doi.org/10.1609/aaai.v35i10.17023openalex-snapshot

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting

inferred← citeshttps://doi.org/10.1609/aaai.v37i6.25854openalex-snapshot

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting

inferred← citeshttps://doi.org/10.2118/212962-msopenalex-snapshot

Dynamic Physics-Guided Deep Learning for Production Forecasting in Unconventional Reservoirs

inferred← citeshttps://doi.org/10.2118/221474-paopenalex-snapshot

Dynamic Physics-Guided Deep Learning for Long-Term Production Forecasting in Unconventional Reservoirs

inferred← citeshttps://doi.org/10.21203/rs.3.rs-2136936/v1openalex-snapshot

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective

inferred← citeshttps://doi.org/10.2139/ssrn.4832892openalex-snapshot

Future Frontiers in Deep Learning: From Static to Dynamic Neural Network Technologies

inferred← citeshttps://doi.org/10.2139/ssrn.5379395openalex-snapshot

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inferred← citeshttps://doi.org/10.23919/ccc52363.2021.9550144openalex-snapshot

A New Method for Anomaly Detection and Diagnosis of Ocean Observation System based on Deep Learning

inferred← citeshttps://doi.org/10.23919/fusion49465.2021.9627017openalex-snapshot

Forecasting pharmacy purchases orders

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Enhancing Stock Trading Performance with Deep Q-Learning by Addressing Noisy Data through Advanced Denoising Techniques

inferred← citeshttps://doi.org/10.23919/fusion65864.2025.11123992openalex-snapshot

Integrating Image-Based Time Series Features with the Temporal Fusion Transformer for Stock Price Prediction

inferred← citeshttps://doi.org/10.2514/6.2022-3707openalex-snapshot

Multi-Airport Delay Prediction with Transformers

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A Novel Differentiable Rank Learning Method Towards Stock Movement Quantile Forecasting

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inferred← citeshttps://doi.org/10.3389/fonc.2025.1467672openalex-snapshot

UnetTransCNN: integrating transformers with convolutional neural networks for enhanced medical image segmentation

inferred← citeshttps://doi.org/10.3390/app112311285openalex-snapshot

Real Driving Cycle-Based State of Charge Prediction for EV Batteries Using Deep Learning Methods

inferred← citeshttps://doi.org/10.3390/app132212509openalex-snapshot

Proactive Service Caching in a MEC System by Using Spatio-Temporal Correlation among MEC Servers

inferred← citeshttps://doi.org/10.3390/app14156741openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/atmos14081248openalex-snapshot

Comparative Analysis of Neural Network Models for Predicting Ammonia Concentrations in a Mechanically Ventilated Sow Gestation Facility in Korea

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Enhancing Day-Ahead Cooling Load Prediction in Tropical Commercial Buildings Using Advanced Deep Learning Models: A Case Study in Singapore

inferred← citeshttps://doi.org/10.3390/data5020041openalex-snapshot

A Multi-Factor Analysis of Forecasting Methods: A Study on the M4 Competition

inferred← citeshttps://doi.org/10.3390/electronics11193167openalex-snapshot

Spatial and Temporal Normalization for Multi-Variate Time Series Prediction Using Machine Learning Algorithms

inferred← citeshttps://doi.org/10.3390/en16145435openalex-snapshot

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inferred← citeshttps://doi.org/10.3390/en17163973openalex-snapshot

Deep Learning Models for PV Power Forecasting: Review

inferred← citeshttps://doi.org/10.3390/forecast6030033openalex-snapshot

Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports

inferred← citeshttps://doi.org/10.3390/info14110598openalex-snapshot

Deep Learning for Time Series Forecasting: Advances and Open Problems

inferred← citeshttps://doi.org/10.3390/info16110971openalex-snapshot

Multimodal Models in Healthcare: Methods, Challenges, and Future Directions for Enhanced Clinical Decision Support

inferred← citeshttps://doi.org/10.3390/jmse11040880openalex-snapshot

TRFM-LS: Transformer-Based Deep Learning Method for Vessel Trajectory Prediction

inferred← citeshttps://doi.org/10.3390/lubricants11080343openalex-snapshot

Dynamic Temperature Prediction on High-Speed Angular Contact Ball Bearings of Machine Tool Spindles Based on CNN and Informer

inferred← citeshttps://doi.org/10.3390/math10193664openalex-snapshot

Short-Term Online Forecasting for Passenger Origin–Destination (OD) Flows of Urban Rail Transit: A Graph–Temporal Fused Deep Learning Method

inferred← citeshttps://doi.org/10.3390/math12101504openalex-snapshot

Deep Time Series Forecasting Models: A Comprehensive Survey

inferred← citeshttps://doi.org/10.3390/math14071173openalex-snapshot

A Stable Rolling Forecast for Renewable Energy Generation Based on a Neural Ordinary Differential Equation

inferred← citeshttps://doi.org/10.3390/s24123962openalex-snapshot

BiLSTM-MLAM: A Multi-Scale Time Series Prediction Model for Sensor Data Based on Bi-LSTM and Local Attention Mechanisms

inferred← citeshttps://doi.org/10.3390/s25082428openalex-snapshot

Multi-Agent Deep Reinforcement Learning for Integrated Demand Forecasting and Inventory Optimization in Sensor-Enabled Retail Supply Chains

inferred← citeshttps://doi.org/10.3390/smartcities6050114openalex-snapshot

Multivariate Time-Series Forecasting: A Review of Deep Learning Methods in Internet of Things Applications to Smart Cities

inferred← citeshttps://doi.org/10.3844/jcssp.2020.1401.1416openalex-snapshot

Comparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time Series

inferred← citeshttps://doi.org/10.4236/jpee.2024.1212001openalex-snapshot

Wind Power Forecasting Using Grey Wolf Optimized Long Short-Term Memory Based on Numerical Weather Prediction

inferred← citeshttps://doi.org/10.48175/ijetir-1231openalex-snapshot

Efficient Clothing Fashion Prediction using Machine Learning

inferred← citeshttps://doi.org/10.48550/arxiv.2005.10111openalex-snapshot

The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models

inferred← citeshttps://doi.org/10.48550/arxiv.2101.02118openalex-snapshot

Do We Really Need Deep Learning Models for Time Series Forecasting?

inferred← citeshttps://doi.org/10.48550/arxiv.2105.10430openalex-snapshot

Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units

inferred← citeshttps://doi.org/10.48550/arxiv.2110.08255openalex-snapshot

Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting

inferred← citeshttps://doi.org/10.5194/hess-2024-261-ac2openalex-snapshot

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