Data Aggregator (Academic Institution 2)

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Proposed PCWG Data Sharing Initiative
PCWG
9th Meeting: 12 December 2014 - Glasgow
PCWG Data Combination Initiative: What?
• A new innovative industry collaborative exercise based on data aggregation across
organizational boundaries.
• The exercise will seek to unlock the potential of data that already exists for the
benefit of the whole industry,
Why?
• Aggregation of information across organization boundaries offers the potential for a
step change in industry understanding of turbine performance.
• The initiative aims to deliver an effective and practical parameterization of real
world turbine performance to an entire industry.
• It will deliver a strong message to the investment community that wind energy is
serious about improving its value proposition.
When?
• Aim to complete by Sept 2015 PCWG meeting in New Orleans (TBC). Possible reveal
presentation at AWEA Resource Assessment 2015.
How? Part A Data Aggregation
Analysis
Definition X
Analysis
Definition X
Analysis
Definition X
Analysis
Definition X
PCWG
Analysis Tool
PCWG
Analysis Tool
PCWG
Analysis Tool
PCWG
Analysis Tool
Proprietary
Dataset A
Proprietary
Dataset B
Proprietary
Dataset C
Proprietary
Dataset C
Organization A
Organization B
Organization C
Organization D
Consistently Analyzed
Cleansed Data
Data Aggregator
(Academic Institution 1)
Combined
Analysis α
Combination
Analysis
Data Aggregator
(Academic Institution 2)
Combination
Analysis
Combined
Analysis β
* ‘Cleansed Data’ means that all commercially sensitive information is removed e.g. site, machine, site wind speed etc.
How? Part B Training Independent Test
Analysis β
Analysis α
Analysis
Definition Y
Analysis
Definition Y
Analysis
Definition Z
Analysis
Definition Z
Proprietary
Dataset A
Proprietary
Dataset B
Proprietary
Dataset C
Proprietary
Dataset C
Organization A
Organization B
Organization C
Organization D
Consistently Analyzed
Cleansed Data
Data Aggregator
(Academic Institution 1)
Validation
Test β
Combination
Analysis
Data Aggregator
(Academic Institution 2)
Validation
Test α
Combination
Analysis
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