Improvements in wind speed forecasts for wind power prediction purposes using Kalman filtering

• Published in: Journal of wind engineering and industrial aerodynamics Vol. 96; no. 12; pp. 2348 - 2362
• Main Authors: Louka, P., Galanis, G., Siebert, N., Kariniotakis, G., Katsafados, P., Pytharoulis, I., Kallos, G.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Ltd 01.12.2008; Elsevier Science; Elsevier
• Subjects: Applied sciences; Buildings. Public works; Climatology and bioclimatics for buildings; domain_spi.energ; Energy; Engineering Sciences; Exact sciences and technology; Kalman filtering; Mathematical models; Natural energy; Numerical prediction; Post-processing; Systematic errors; Wind energy; Wind engineering; Wind power; Wind power forecasting; Wind speed; Wind speed forecasting; Wind power forecasting; Kalman filtering; Wind speed forecasting; Wind energy; Methodology; Wind velocity; Aerodynamics; Forecast model; Modeling; Comparative study; Result

This paper studies the application of Kalman filtering as a post-processing method in numerical predictions of wind speed. Two limited-area atmospheric models have been employed, with different options/capabilities of horizontal resolution, to provide wind speed forecasts. The application of Kalman...