An app to design best solar system for your home wins Endesa Datathon

Published on Tuesday, 14 June 2016

  • To be eligible for the competition, proposals looked at, among others, customer characterisation; predicting customer behaviour; offering new products and value-added services; or help mechanisms for customers during decision making processes.
  • Endesa Datathon is a competition designed to develop new and innovative commercial proposals based on analysing millions of simulated consumption data taken from the new hourly meter readings. 
  • This is the second challenge launched through Endesa’s new collaborative platform, Endesa Energy Challenges, launched as part of its open innovation model and designed to pursue energy efficient products and services. 

 

Would you like to have a solar system at home but you don’t know where to start? Well the perfect solution may be available for customers very soon. Specifically, an app created to help you design the perfect self-consumption solar system and energy storage solution for your home. The proposal has won the global Datathon Endesa competition; the second challenge launched through Endesa’s new collaborative platform, Endesa Energy Challenges. The proposal was devised by José Miguel Leiva, who has spent the last three months, along with another 40 finalists, looking for new and innovative proposals based on analysing millions of simulated consumption data taken from customers’ new hourly meter readings. 

This is just one of the many potential applications that this exciting world of big data can offer in the field of energy. The competition finale was held today at Endesa’s headquarters, and national and international experts such as Carlo Ratti, director of MIT Senseable City Lab, discussed this issue and how big data affects our lives.

During the competition, which was launched in October 2015, 600 proposals were submitted by people from 20 different countries (including Spain, India, the USA, Italy and Vietnam) offering different value proposals based on handling large volumes of data, such as customer characterisation, predicting customer behaviour or offering new products and services based on these data. 40 finalists were selected from these 600 participants and after assessing the proposals, the jury selected three finalists. Second and third place, respectively, went to Paulino Tardáguila, who developed an app for classifying customers based on their consumption patterns; and Victor Marcos, whose proposal enables the best tariff to be selected for each customer.

The Endesa Datathon challenge 

In order to enable participants to participate in the competition, they were given access to a set of simulated data generated according to the consumption patterns of millions of data obtained from the new hourly meter readings and they were also provided with advanced analysis tools. 

Since 1 October this year, customers with smart meters are being billed according to their hourly consumption and the price established at that time by the wholesale electricity market. In Endesa’s case, approximately 120 million data are being processed every day.

This project is the second challenge launched through the company’s new collaborative platform, Endesa Energy Challenges, launched as part of its open innovation model called Open Power. The aim of the platform is to challenge the most brilliant minds to search for solutions in the energy world that enable the current model to be transformed. www.endesaenergychallenges.com.