EDP is challenging students, scholars, startups and the tech community to evaluate its power plants' operational data and solve challenges associated with the company's energy business. This is the second time the company creates an online hackhaton to challenge the tech community to find solutions for wind turbine operating problems.

This time, 'hackathoners' have until May 1st to develop a model that predicts when wind turbines may fail, in order to anticipate maintenance times and thereby reduce interruptions in renewable energy production parks. After the deadline, the creators of the best solutions will have the opportunity to present their projects to the EDP team.

The predictive maintenance challenge is available on the EDP Open Data platform (opendata.edp.com), which has been recently launched to make operational data available for several areas in which the company operates. The EDP Open Data platform provides technical data pertaining to some EDP Renewables wind and solar parks, which means that anyone can analyze clean energy production levels, turbine and panel availability, weather conditions, and other technical data. 

The winner of this challenge will win a €5,000 prize. In addition to this prize, participants will have access to data which is highly sought after among the academic and tech communities, precisely because it is crucial for developing energy-related projects. For EDP, this is a way of getting closer to the scientific community which is interested in this kind of data, while also allowing the company to identify people and companies with the potential to create new AI-based tools and solutions, among others.  

Soon, the EDP Open Data platform is expected to provide data from other business units within the EDP Group, which operates in 16 countries and is engaged in the energy generation, distribution and trading segments.  

The EDP Open Data platform is available at opendata.edp.com.