Dikgale, Moyahabo S2026-10-122026-10-122026-10http://hdl.handle.net/10204/14972Accurate wind resource assessment forms the foundation of every wind energy investment decision, with anemometer-based wind-speed measurements serving as the primary input for evaluating site viability and predicting future energy production. The precision and reliability of these measurements directly influence energy yield estimates, project financing, and overall bankability. Even small sensor-level inaccuracies can propagate through resource assessment models, resulting in significant deviations in projected megawatt output and financial returns over a project's operational lifespan. Consequently, reducing measurement uncertainty at the data acquisition stage is critical for enhancing confidence in performance forecasts and supporting informed investment decisions. By implementing robust measurement practices, calibration procedures, and quality assurance measures, stakeholders can minimise uncertainty, improve energy production accuracy, and safeguard long-term asset value. Ultimately, high-quality wind-speed measurement not only strengthens project feasibility assessments but also contributes to the sustainable and profitable operation of wind energy assets.FulltextenWind resource assessmentAnemometer measurementsMeasurement uncertaintyWind farm bankabilityEnergy yield predictionAsset value protectionConference Presentationn/a