Transforming Power: AI In Smart Grids

Q1. Could you start by giving us a brief overview of your professional background, particularly focusing on your expertise in the industry?

I have over 10 years of experience in the industry, with a current focus as a domain consultant specializing in digital twin, AI, generative AI, and agentic AI solutions for utility and smart grid applications.

Q2. How mature are AI and machine learning technologies for predictive maintenance in smart grids today, and what are the biggest technological gaps remaining?

Digital twin and AI technologies hold significant promise for the future of smart grid applications. However, one of the main challenges today is achieving interoperability between current AI systems and existing digital infrastructure. Bridging this gap is essential to fully realize the benefits of predictive maintenance in smart grids.

Q3. How scalable and adaptable are these AI solutions for diverse grid infrastructures, including microgrids and renewable-heavy grids?

AI solutions are highly scalable for smart grids and microgrids, where digital integration is more advanced. However, conventional grid infrastructures often face challenges related to data quality and integration, which can limit the effectiveness of AI-driven solutions.

Q4. Can you describe emerging trends or breakthroughs in AI/ML that could disrupt or accelerate…