Deep Latent Factor Model for Spatio-Temporal Forecasting
Author:
Affiliation:
1. Department of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Funder
National Research Foundation of Korea
MSIT
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/00401706.2024.2322661
Reference75 articles.
1. Very short-term irradiance forecasting at unobserved locations using spatio-temporal kriging
2. “Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting,” in;Bai L.;Advances in Neural Information Processing Systems,2020
3. Bayesian Gaussian models for point referenced spatial and spatio-temporal data
4. Hierarchical Modeling and Analysis for Spatial Data
5. Bayesian Temporal Factorization for Multidimensional Time Series Prediction
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