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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SFOne is the 1P single-axis tracker by Soltec. This tracker combines the mechanical simplicity with the extraordinary expertise of Soltec for more than 18 years. Specially designed for larger 72 an 78 cell modules, this tracker is self-powered thanks to its dedicated module, which results into a lower cost-operational power supply. The SFOne has a 5% less piles than standard competitor, what reduces a 75% the labor time.
