Wind Turbine Distance Model Results With Credibility Intervals

Model results from figshare by Johanna Hurst, updated March 2026, analyze the effects of wind speed and rotor blade revolution on turbine distance. The dataset provides estimated values of the a-posteriori distribution and 95% credibility intervals, with prediction variables indicating interactions. It is a small 5.5 KB Excel file.

Use Cases

• Analyze the estimated values of the a-posteriori distribution to quantify the effect of wind speed on turbine distance
• Use the 95% credibility intervals to assess uncertainty in predictions from rotor blade revolution effects
• Interpret prediction variables with colons to model interaction effects between wind speed and rotor blade parameters

Strengths

• Provides 95% credibility intervals for model estimates, allowing uncertainty quantification
• Includes interaction terms between prediction variables, indicated by colons
• Released under a permissive CC BY 4.0 license

Limitations

• Extremely small scale at 5.5 KB, indicating very limited data or model output scope
• No row or column counts provided, limiting assessment of analytical depth
• Specific geographic or temporal context for the underlying data is unknown

Provenance

Source

figshare

Collection Method

Statistical modeling results from an analysis of wind turbine effects

Time Range

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Freshness

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Geography

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