AI for Clean Energy: Transitioning toward a Decarbonized Energy System

Project completed!

In this Omdena challenge with the World Energy Council, the community will apply AI to find actionable insights about the sentiment of people across the world toward a clean energy transition. The findings will provide helpful guidelines to move toward a decarbonized, decentralized and digitized energy system that can serve all citizens of the world.

 

Energy transition: A global problem

According to the World Energy Council:

“The energy transition is nothing new, but the need for a timely, well managed global transition is unprecedented. No longer is it just the concern for energy companies and government policy, but part of a much larger transition affecting all industries, governments, consumers and even the planet’s survival.

Energy transition refers broadly to a long-term structural change in energy systems.

The need for a successful energy transition is urgent. We support the United Nations’ Sustainable Development Goal 7 to provide quality access to clean and sustainable energy for all by 2030. But the reality is that the world is still far off achieving this goal. Today, the main challenge we face is to better manage energy transition in synergy with the transitions in society, industry and the environment.”

For more details regarding the problem visit the homepage of the World Energy Council.

 

The goal: Applying AI for understanding energy transition 

The collaborators will analyze the sentiment of people in different parts of the world about renewable energy and the energy transition. We will use social media data, newspaper articles, and additional resources.

Also, public policies in different regions will play a key role to understand whether regions favor a transition or not.

 

Why you should join the challenge

The partner organization, World Energy Council, is a global and inclusive forum for thought-leadership. Its mission is ‘To promote the sustainable supply and use of energy for the greatest benefit of all people’. 

For the next two months, you will not only build AI solutions to make a real-world impact but also go through an entire data science project lifecycle. This covers problem scoping, data collection and preparation, as well as modeling for potential deployment.

And the best part is, all of it through global collaboration.