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DATA-BASED WIND FARM MODELING AND CONTROL
Miao, Yizhi
(PI)
N. Soltani, Mohsen
(Supervisor)
Hajizadeh, Amin
(Supervisor)
Wind Power Systems
Offshore Renewable Energy Systems
Esbjerg Energy Section
The Faculty of Engineering and Science
AAU Energy
Photovoltaic Systems
Intelligent Energy Systems and Flexible Markets
AI for the People
Overview
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Computer Science
Control
100%
Modeling
100%
Models
100%
Control Algorithm
42%
Design
28%
Artificial Intelligence
28%
Algorithms
28%
Computational Cost
14%
Intelligent Control System
14%
Machine Learning
14%
Data Model
14%
Reinforcement Learning
14%
Engineering
Wind Farm Modeling
100%
Models
71%
Control Algorithm
42%
Algorithm
28%
Artificial Intelligence
28%
Design
28%
Model Data
14%
Reinforcement Learning
14%
Power Industry
14%
Redirection
14%
Model Fidelity
14%
Power Turbine
14%
Power Production
14%
Computational Cost
14%
Wind Power
14%
Existing Model
14%
Supports
14%
Performance
14%
Development
14%