Breakthrough Machine Learning Approach Quickly Produces 50X Higher-Resolution Climate Data
This approach will enable scientists to complete renewable energy studies in future climate scenarios faster and with more accuracy.
How Machine Learning Could Impact the Future of Renewable Energy
Machine learning technology - computer programs that use data sets to "learn" how to see patterns in information like wind speed and energy output - may be the answer to wind farms' prediction problem.
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Featured Product
Vecoplan - Planning and implementation of complete processing plants in refuse derived fuel production
In order to reduce the costs involved in the energy-intensive production of cement, many manufacturers are turning to refuse-derived fuels (RDF), considerably reducing the proportion of expensive primary fuels they would normally use. Solid fuels are being increasingly used - these might be used tyres, waste wood or mixtures of plastics, paper, composite materials and textiles. Vecoplan provides operators of cement plants with proven and robust components for conveying the material and separating iron and impurities, efficient receiving stations, storage systems and, of course, efficient shredders for an output in various qualities.
