Our energy production increasingly depends on renewable energy sources, which impose new challenges for distributed and decentralized systems. One problem is that the availability of renewable energy sources such as wind and solar is not continuous as it is affected by meteorological factors. The challenge is to develop forecast methods capable of determining the level of power generation (e.g., through solar power) in near real-time in order to control solar power plants for optimal energy production. Another scenario is the identification of optimal locations for ∗Funded by the German Federal Ministry of Education and Research (BMBF, http://www.bmbf.de) such power plants. In our collaborative project, these tasks are investigated in the domain of energy meteorology. For that purpose large data sources from many different sensors (e.g., satellites and ground stations) are the base for complex computations. The idea is to parallelize these computations in order to obtain significa...