Lunar-Based Solar Power Concept Could Solve The World's Energy Crisis
Wall Street Pit: If the moon can be turned into a solar power station, our energy problems for sustainable and affordable electric power on a global scale will be solved.
IBM Uses Machine Learning to Boost Solar for Dept of Energy
While other solar forecasting systems take more narrow location and timeframe views, whats different about the IBM approach is that we incorporate a great number of weather and solar energy prediction models. We then blend those using historical data as a function of weather situation, forecast horizon and location to create what we call a supermodel.
Machine Learning Helps IBM Boost Accuracy of U.S. Department of Energy Solar Forecasts by up to 30 Percent
Makes Solar Forecasts Available to States to Advance Integration of Solar Power into the Nations Energy Pipeline
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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.
