The Clean Energy Transition
Lawrence Jones is Senior Vice President of EEI International Programs.
What the clean energy transition entails and how it unfolds globally is based on the local context and the operating environment in each region. However, energy security, affordability, resilience, reliability, and electrification across the economy are top of mind around the world.
Artificial intelligence (AI), advances in computational speed, and algorithms can help support the clean energy transition. Our industry is moving toward a greater understanding and utilization of these new technological capabilities that are already impacting our clean energy pathways.
Why will AI and computational analysis be helpful in the current moment? We are in an era of uncertainty and increased complexity. Regions across the world are trying to mitigate similar challenges we face, from geopolitical disruptions to extreme weather events to the fast pace of technological change.
The benefit of these technologies is their capability to analyze large volumes of data and to model increased levels of complexity and scale quickly, providing decision makers with more granular insights to help solve today's most pressing issues that are shaping the energy future.
AI has its limits, and it is important we work to understand them. The clean energy transition will require an array of emerging technologies and their integration into our systems, and AI is only a part of this equation.