Physics-Guided Machine Learning for Wind-Farm Power Prediction: - Research - Aarhus University

Aarhus University Seal

For students
For PhDs
For employees
Departments and faculties
AU Library

Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

DOI

https://doi.org/10.1103/PRXEnergy.2.013009
Final published version

Department of Mechanical and Production Engineering - Fluids and Energy
Department of Electrical and Computer Engineering - Signal Processing and Machine learning

Original language	English
Article number	013009
Journal	PRX Energy
Volume	2
Issue	1
Number of pages	17
DOIs	https://doi.org/10.1103/PRXEnergy.2.013009
Publication status	Published - Mar 2023

See relations at Aarhus University Citationformats

ID: 314811599