A Computational Approach for Predicting the Short-Term Output Power of a Wind Turbine in an Urban Area

2024

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DOI 10.1109/eeae60309.2024.10600545
Data confidence 70 medium
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Abstract

This paper presents an approach aimed at estimating the anticipated power output of a wind turbine by leveraging real-time and forecasted wind speed data sourced from the Internet. The methodology incorporates exponential smoothing techniques to reduce forecasting inaccuracies. Additionally, it introduces a mechanism for data storage and visualization of prediction outcomes on the user interface, enhancing user convenience.