Abstract: Renewable energy has some challenges due to its variability and incompatibility with the modern electricity grid. However, novel methods of extracting valuable fractal behavior of wind speeds show very powerful spatially and temporally correlated features. Further investigation shows that energy can be quite readily quantified given this approach and its implications are deep reaching in providing a new way of linking solar irradiation and wind speed resources on a temporal scale and on a more fundamental basis. Such an improvement over the current computational and methodologically-heavy state of the art forecast techniques can have increased benefits in agriculture, forestry, and human bio-meteorology when considering future wind turbine locations. Siting of new locations become a societal activity but in a much more positive light as the positive externalities could be quantifiably accounted for. Furthermore, this creates an information market of natural resource forecasting that can present an alternative hypothesis of creation and innovation in a de-commodified economy.