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Entrepreneur Spotlight | GreenFrog.ai - The Future of Sustainability: AI as a Game-Changer in Energy Transition

What inspired you to embark on the journey of creating Greenfrog.ai

My career transitioned from enterprise transformation with IT to exploring Tech’s potential in sustainability. This led to the creation of GreenFrog.ai, a side hobby still in its conceptual and validation phase.

Have you heard about how the company Faith in Nature appointed "Mother Nature" to its board, giving the environment a voice in governance? I picture a future where a sustainability-focused AI could join corporate boards, offering data-driven environmental insights to challenge decision-making with no complacency and unlock many sustainability-driven projects.

The goal is to help companies enhance sustainability strategies formation by leveraging AI for SDG-aligned assessments, target setting, regulatory compliance, and more. Instead of replacing human consultants, we  can augment them and democratise strategy development so that we shift the focus to execution faster.

Could you share your perspective on how AI is shaping the development of new energies?

Strategy formation is a necessary step, but AI is also helping address concrete challenges in the actual transition to new energies. For example, the intermittent nature of solar and wind once caused grid instability, leading to curtailment rates of up to 17%. AI-powered forecasting now predicts energy generation with 97% accuracy, dramatically lowering curtailment rates and improving the economic viability of renewable projects.

Predictive maintenance has boosted wind turbine efficiency from 80% to over 90%, reducing downtimes and improving energy output. AI is also optimizing energy storage, extending battery life by up to 20%, or even helping make strides in fusion energy. In sustainable finance, AI is revolutionising risk assessment, impact measurement, and market transparency.

It enhances the credibility of carbon credits and sustainable certificates through automated verification, while improving fraud detection in environmental data. This transformation in finance, currently a hot topic for Singapore MAS, is reshaping the economics of renewable energy, addressing issues in integration, maintenance, and funding, potentially accelerating the global energy transition.

What challenges and opportunities do you see in Southeast Asia?

Southeast Asia is at a crucial point in its energy transformation. The region’s energy demand is expected to rise 60% by 2040, and while it has abundant renewable resources like solar, wind, and geothermal, transitioning from fossil fuels presents challenges.

AI is crucial in unlocking these new energy opportunities. In Thailand, AI-driven analytics have improved solar farm efficiency by up to 15%, while in Singapore, AI algorithms balance energy loads in real-time, cutting operational costs by 10%.

Energy access is another challenge. In Indonesia, AI-managed microgrids using renewable energy have brought electricity to over 500 remote villages. In disaster-prone countries like the Philippines, AI-optimised energy storage improves resilience.

Challenges remain, including regulatory hurdles, infrastructure gaps, and a lack of skilled talent in AI and renewable technologies. However, these obstacles offer opportunities for policy innovation, investment, and education. Southeast Asia has the potential to become a leader in the global energy transition by leveraging AI to meet its energy needs sustainably while driving economic growth. 

Contributed by

David Marchesseau Founder, Greenfrog.ai

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