Skip to content
RDL
Network
Ecosystem
Switch app
TR
About
FAQ
Sign in
Get started
Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method (2024) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method
Shared by
Frede Blaabjerg
Aalborg University
Probabilistic net load forecasting based on transformer network and Gaussian process-enabled residual modeling learning method
Article
2024
en
Related publications
Article
2021
Robust Deep Gaussian Process-Based Probabilistic Electrical Load Forecasting Against Anomalous Events
Article
2022
Probabilistic Wind Power Forecasting for Newly-Built Wind Farm Based on Multi-Task Gaussian Process Method
Article
2023
Probabilistic wind power forecasting for newly-built wind farms based on multi-task Gaussian process method
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Article
2025
Non-intrusive load monitoring based on process-adaptive multi-target regression and transformer-enabled two-stream input network
Article
2023
Bayesian averaging-enabled transfer learning method for probabilistic wind power forecasting of newly built wind farms
Discussion(0)
No comments yet. Be the first to comment.