Researchers develop AI-driven smart grid system to revolutionize global energy flexibility

Folalumi Alaran in Abuja

A team of international researchers has unveiled a groundbreaking artificial intelligence–powered smart grid system that could redefine how the world manages electricity demand, carbon emissions, and energy costs.

The innovation, detailed in U.S. Patent No. 12,327,263 B1, titled “System and Method for an AI Enhanced Smart Grid Framework with Optimized Incentive Capabilities,” introduces a transformative framework that uses AI and the Internet of Things (IoT) to enable real-time energy optimization and personalized financial incentives for consumers.

Led by Dr. Chukwuka Gideon Monyei of Bristol, United Kingdom, the project represents a major step forward in sustainable energy technology. “Our work demonstrates how artificial intelligence can empower individuals and organizations to actively support grid stability while achieving meaningful financial and environmental benefits,” Dr. Monyei said.

The patent, granted in June 2025, integrates machine learning algorithms that analyze vast data sets that include weather patterns, occupancy behavior, and grid conditions which it then uses to generate tailored energy-saving plans for households and businesses. By transforming traditional consumers into active participants, the system lays the groundwork for a more flexible and resilient power grid.

Jennifer Ifechi Alphonsus, a co-researcher from Bristol who developed the carbon credit monetization framework, explained that the system links efficient energy behavior to tangible rewards. “This technology allows users to earn carbon offsets and financial incentives simply by optimizing how and when their devices consume power,” she said.

The diverse research team at ESCROW-TECH LIMITED includes contributors from Nigeria, South Africa, the Netherlands, Estonia, and Germany. Dr. Peter Ayokunle Popoola from Durban, South Africa developed the energy consumption pattern recognition module, while Godspower Ikenna Ogbonna from Ajah, Nigeria, contributed to the process design ensuring local adaptability. Micheal Obolo from Amsterdam, Netherlands created the carbon credit integration mechanism, Uduak Christopher Edet from Kubwa, Nigeria, oversaw system interoperability while Uchechukwu Best Olise from Tallinn, Estonia contributed to the design of the benchmarking framework.

“The international scope of this project shows that sustainable energy innovation requires global collaboration,” said Emmanuel Chukwunweike Monyei from Bochum, Germany. “Every contributor brought expertise that made this system not only advanced but practical.”

The patented technology has already transitioned into practical implementation through a suite of smart IoT devices that include intelligent plugs, sockets, temperature and humidity sensors and switches that are capable of managing energy use autonomously. Each device runs embedded AI algorithms that analyze consumption patterns and adjust in real time to minimize costs while maintaining comfort.

“These smart devices essentially turn homes and offices into virtual power plants,” said Jesse Nnamdi Abuaja, another Nigerian researcher who helped develop the end-user profiling algorithms. “They make consumers active players in achieving energy stability and carbon reduction.”

Analysts have described the development as a milestone in the move toward smart cities and carbon-neutral economies. The researchers believe that the technology’s combination of AI intelligence, consumer incentives, and real-time control could accelerate global adoption of cleaner, more efficient power systems.

“The journey from concept to commercialization has shown us that the future of energy lies in intelligent, decentralized systems,” Michael Obolo noted. According to Chukwuemeka Monyei, another researcher from Oxford, United Kingdom “this innovation proves that AI can do more than optimize; it can fundamentally transform how the world produces, manages, and values energy.”