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Towards digital twin technology: Wind farm operation analysis and optimization using model-supported data analytics
Schröder, Laura
(PhD Student)
Dimitrov, Nikolay Krasimirov
(Main Supervisor)
Sørensen, John Aasted
(Supervisor)
Verelst, David Robert
(Supervisor)
Réthoré, Pierre-Elouan
(Examiner)
Chatzi, Eleni
(Examiner)
Watson, Simon
(Examiner)
Department of Wind Energy
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2017
→
15/04/2021
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Fingerprint
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.
wind farm
Earth & Environmental Sciences
100%
turbine
Earth & Environmental Sciences
52%
thesis
Earth & Environmental Sciences
30%
analysis
Earth & Environmental Sciences
22%
artificial neural network
Earth & Environmental Sciences
19%
simulation
Earth & Environmental Sciences
15%
fatigue
Earth & Environmental Sciences
14%
machine learning
Earth & Environmental Sciences
14%
Research output
Research output per year
2020
2020
2020
1
Ph.D. thesis
Research output per year
Research output per year
Towards digital twins: wind farm operation analysis and optimization using model-supported data analytics
Schröder, L.
,
2020
, Risø, Roskilde, Denmark:
DTU Wind Energy
.
123 p.
(DTU Wind Energy PhD; No. 0106(EN)).
Research output
:
Book/Report
›
Ph.D. thesis
›
Research
Open Access
File
wind farm
100%
turbine
52%
thesis
30%
analysis
22%
artificial neural network
19%
322
Downloads (Pure)