MINT: Features
Appropriate for professional wind data analysis
Basics features
Use the power of advanced math
Apply proper statistics
Appropriate for professional wind data analysis
- Handle as many data files as you need.
- Suitable for very large data sets (150MB or more).
- Extended report documentation of results in PDF report.
Basics features
- Draw wind roses, time series and others from one or multiple data sets.
- Read and analyse SODAR / LIDAR observations down to 1 second resolution.
- Extrapolate time records to hub height based on exponential, log-like or wind shear profiles.
Use the power of advanced math
- Use boot strapping to estimate the range of Weibull parameters.
- Estimate extreme wind speeds with Gumbel, GEV or POT methods.
- Annual energy production AEP and P50, P90 based on pure Monte-Carlo-Simulation.
Apply proper statistics
- From simple to high-end MCP methods: linear correlation, quantile correlation, orthogonal correlation. All added with extended error analysis.
- Multi-variate MCP combines multiple wind records.
MINT - made by wind data professionals for wind data professionals.