Artificial Intelligence drives an over 200% increase in divisional profitability using Azure Data Services.
This large energy company delivers safe, reliable service to millions of customers in North America. With a long history and clear vision for the future, they recognize the importance of wind energy and have invested in several wind energy projects. Once fully operational, these projects have the capacity to serve more than a million homes.
The client was seeking new ways to increase the efficiency of their internal processes so that they could proactively replace wind-farm parts before they become unreliable.
Using their wealth of data, this energy company needed to enhance their ongoing measurement and improvement programs and deliver new efficiencies across all production facilities.
They were looking for a solution that would blend data-driven analytics with straightforward usability.
Using Microsoft’s Azure Data Services, our team delivered an easy-to-use dashboard that enables the client to predict and avoid many demand generation & maintenance issues.
Our team created a preventative maintenance engine that:
MNP’s innovative solution dramatically contributed to wind farm uptime, increasing the overall efficiency of renewal wind energy. The client saw a 200% increase in divisional profitability without any new physical investment. They could also accurately estimate market price and revenue attainment, and experienced a dramatic increase in load forecasting accuracy.