The potential of artificial intelligence for the energy transition.
The new report highlights the potential of technologies to support the energy transition and sets out a set of principles for the energy industry to implement AI in a safe, fair and reliable way.
September 1, 2021
According to a new report by the World Economic Forum, artificial intelligence (AI) has enormous potential to accelerate and support the global energy transition. It can act as an intelligent layer in many applications to identify patterns, improve system performance and predict the outcomes of complex situations. However, leading energy and technology experts say there are several key barriers preventing AI from being adopted quickly or on a global scale.
Written in collaboration with BloombergNEF and Deutsche Energie-Agentur (dena), the German Energy Agency, "Harnessing Artificial Intelligence to Accelerate the Energy Transition" reviews the state of AI adoption in the energy sector and identifies high-priority applications, and offers a roadmap and practical recommendations for maximising the benefits of artificial intelligence.
High priority applications on how AI can accelerate the transition to a low-carbon energy future include:
Identify patterns and insights in data to increase efficiency and savings.
Coordinate energy systems with an increasing share of renewable energy.
Manage complex and decentralised energy systems at scale.
"AI is already making its mark in many sectors of society and the economy. In energy, we are only seeing the beginning of what AI can do to accelerate the transition to the interconnected, ultra-efficient, low-emission energy systems we need tomorrow. This report shows the potential and what it will take to unlock it, guided by principles covering how to govern, design and enable the responsible use of AI in energy. Governments and businesses can collectively create a real tipping point in the use of AI for a faster energy transition," said Roberto Bocca, Head of Energy at the World Economic Forum.