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TIC LCPE: Wind Turbine Performance Benchmarking using Copula Models (WIND-05)
Stephen, Bruce
(Principal Investigator)
McMillan, David
(Co-investigator)
Energy
Measurement, Digital and Enabling Technologies
Electronic And Electrical Engineering
Project
:
Research
Overview
Fingerprint
Research output
(1)
Project Details
Status
Finished
Effective start/end date
29/01/18
→
1/08/18
Funding
Scottish and Southern Energy Plc SSE PLC
Scottish Power Renewables Limited
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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.
Assessments
Physics
100%
Wind Turbine
Physics
100%
Performance
Physics
100%
Power Curve
Engineering
100%
Outlier
Computer Science
100%
Model
Physics
50%
Detection
Physics
50%
Plant
Physics
50%
Research output
Research output per year
2018
2018
2018
1
Poster
Research output per year
Research output per year
Wind turbine performance assessment & power curve outlier rejection using copula modelling
Zorzi, G.,
Stephen, B.
&
McMillan, D.
,
19 Jun 2018
.
1 p.
Research output
:
Contribution to conference
›
Poster
Open Access
File
Wind Turbine
100%
Performance
100%
Assessments
100%
Power Curve
100%
Outlier
100%
35
Downloads (Pure)