A number of organizations (data.gov, EIA, EnergyStar) with various government funding levels and large amounts of energy related data are currently collecting and providing that data in various formats. The use of these datasets varies widely throughout a number of industries even by the DOE's American Energy Data Challenge. The problem is mining that useful information correctly in a way that focuses on reducing the risk, costs and time to make the key decisions in the market place.
A great challenge exists in reducing the cost and risk in successfully connecting prospects and proposals for easier decision making. Prospects need competitive price visibility and proposals need reduced estimating and forecast risk. A fundamental shift change will take place in the renewable distributed energy space when this paradox is solved. Human ingenuity along with automation, algorithms, data assets, tools and capabilities have the potential to solve the problem of price and risk visibility.
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