Lookweather.com started in 2006 as the powerful, flexible and intuitive internet portal for online weather- and energy predictions of the EuroWind GmbH. In addition to a large selection of freely available meteorological maps and forecast data, Lookweather.com provides specialised personal weather information - worldwide - as well as 8-day wind power forecasts for customisable areas within Europe.

Lookweather.com offers a new dimension of flexibility in displaying online wind energy predictions. Personal web-accounts provide various options for chart presentation satisfying the diverse requirements of each of our clients. Whether base or peak values, sums or hourly data, declaration in percent or mega-watts, overlays of latest and older forecasts or the illustration of the forecast accuracy - energy traders, grid operators and many other clients here find what they need - at an amazingly favourable price!

Founded in 2001, EuroWind started as an innovative company for wind farm assessments. Ever since, EuroWind has proved to be the specialist for top-quality assessments, demanded by many financial institutes. Particularly for offshore wind farms, EuroWind, with an in-house developed highly flexible three-dimensional method of computation, shaped up as the expert for long range energy predictions. Moreover, as one of the market leaders for short range wind energy forecasting for entire Europe, EuroWind assures the efficient integration of clean renewable energy into electrical networks. Considering a fast-growing wind power production satisfying 12 percent of the global electricity demand in near future - equivalent to a volume of 80 billions of Euro - various well-known grid operators already utilise EuroWind's forecasts every day.

EuroWind is internationally accredited by the German DAP according to
DIN EN ISO/IEC 17025:2005

Certified wind- and energy yield assessments

Certified for the 60% reference criterion regarding EEG and TR6

Certified in the range of long term referencing, wind index

Certified in the range of wind energy prediction