- Category: Articles
Solutions to Tower Challenges in New Damper Technology

By Bryan Haltom, Market Development Manager, LORD Corporation, USA
.- Category: Articles
More Accurate Forecasts can be Obtained by Using Neural Networks
Predictions of the power production for a wind power plant or collection of wind power plants can be improved by using so-called self-adaptive models. These models learn continuously from past experience and are thus able to adjust to changing circumstances, such as seasonal changes, small changes in weather model set-up, or even changes to the numbers or types of wind turbines. This article compares the predictions of Vejr2's neural network model with that of the company's advanced physical model. The neural network model is seen to perform significantly better than the physical model.
By Anna Hilden, Vejr2 A/S, Denmark
.- Category: Articles
Insulating Fluids Affect the Environmental and Fire Risks of Wind Turbines

By Florian Gerlach, Journalist, Germany
.- Category: Articles

By Rosa Tarragó, Commerzbank AG, Germany
- Category: Articles
Making Wind Power Sustainable and Profitable

By David Marcus, CEO, General Compression, USA
- Category: Articles

By Jenny Rollo and Peter Rollo, the University of Sydney, Australia
- Category: Articles

By F.M. Kleissen, WL | Delft Hydraulics and C. van der Tak, MARIN, the Netherlands