Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
FLASC is a Python toolkit for wind-energy analytics that calculates energy-ratio metrics and assesses changes in energy production, leveraging FLORIS model calibration with ModelFit. It includes a comprehensive data-processing suite and modular API components (dataframes, energy_ratio, expected_power_analysis, total_uplift, and related utilities) to clean, manipulate, and analyze turbine and farm data. The project provides getting started guides, data format docs, examples, and licensing information, serving as an end-to-end workflow for wind-farm data analysis and FLORIS model calibration.
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Sources
sciencedirect.com shapes more of what AI says about FLASC than any other source, at 25% of its citations.
nlr.gov · search.proquest.com · onlinelibrary.wiley.com · openweather.co.uk