Problem
Due to the complex nature of Battery Energy Storage systems and incentive mechanisms of Transmission Organizations, investors cannot model their Battery Energy Storage investments easily and cannot optimize their revenues after the investment. To make meaningful analyses, companies need to collect and process a vast amount of data from a wide range of sources for hundreds of thousands of points that change every five minutes in the US. Demand and renewable energy generation fluctuate by the nature of renewable resources. This makes the prediction of electricity prices very challenging.
Solution
Finding the optimum location for renewable and clean energy assets and running them efficiently in a deregulated and ever changing industry is a big challenge for renewable project developers and energy traders. PowerDev, not only points out the optimum location for the investments by backcasted and future calculations based on big energy data but also provides an ML-based tool to operate the assets such as batteries and hydrogen electrolyzers in the most economically efficient way.
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