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 …
C Kalogeri, G Galanis, C Spyrou, D Diamantis… - Renewable energy, 2017 - Elsevier
The main concern when utilizing renewable energy resources is their intermittency and variability. One way to deal with this shortcoming is to harvest energy from complementary …
L Li, Z Gao, T Moan - Journal of Offshore Mechanics …, 2015 - asmedigitalcollection.asme.org
The design of wind turbines requires information about joint data for wind and wave conditions. Moreover, combining offshore wind and wave energy facilities is a potential way …
Oil spills may have devastating effects on marine ecosystems, public health, the economy, and coastal communities. As a consequence, scientific literature contains various up-to-date …
The trends of storm surge extremes in the Mediterranean Sea for a period of 150 years (1951–2100) are explored, using a high-resolution storm surge model. Numerical …
E Lorenz, J Remund, SC Müller… - 24th European …, 2009 - iea-shc.org
Power generation from photovoltaic systems is highly variable due to its dependence on meteorological conditions. An efficient use of this fluctuating energy source requires reliable …
C Stathopoulos, A Kaperoni, G Galanis… - Journal of Wind …, 2013 - Elsevier
The issue of wind power prediction is approached in this work by means of numerical and statistical prediction models. Two high resolution regional atmospheric systems are …
This paper investigates the use of non-linear functions in classical Kalman filter algorithms on the improvement of regional weather forecasts. The main aim is the implementation of …
Long‐range transport of desert dust from the Sahara across the northern Atlantic has been recorded many times by satellite imagery and ground‐based measurements. However, this …