WEA aims to provide leadership in the area of knowledge discovery from wind farm data by employing data-driven and physics-based modeling technqiues.
The vision of WEA is to become a major player in wind energy research and consulting with a focus on enabling the industry to meet projected energy demands and lofty environmental targets by leveraging state-of-the-art technologies in analytics.
We develop data-driven and scientifically crafted solutions that enable wind energy professionals to efficiently achieve business goals with improved system performance, less unplanned downtime, and an overall increase in wind project profitability.
Abiodun Olaoye holds a Ph.D. in mechanical engineering and computation from the Massachusetts Institute of Technology (MIT). His research interest lies at the intersection of data-driven analytics and physics-based modeling of physical phenomena. He has a passion for contributing to open-source research and developing solutions for the wind industry.Â