Windls |verified| -

This paper introduces WINDLS (Wind Integrated Long-term Dataset for Local Statistics), a methodology for harmonizing scattered wind observations into a continuous, gap-filled time series. Using 15 years of data from three meteorological stations, we demonstrate WINDLS' ability to reduce bias from sensor drift and missing records. Results show seasonal wind speed patterns with a statistically significant decline in summer means (−0.12 m/s per decade, p<0.05). The WINDLS output enables more reliable wind energy yield assessments compared to raw datasets.

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WinDLS automatically adjusts the system's primary user interface culture settings, user profile overrides, and system locale settings via registry flags ( HKLM\SYSTEM\CurrentControlSet\Control\Nls\Language ).

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One of the primary benefits of WinDLS is its user-friendly interface. While the underlying calculations are complex, the GUI allows operators to control parameters, visualize data, and manage studies efficiently without constant manual intervention. Technical Specifications and Requirements