A Nigerian researcher, Oluwaseyi Amisu, has secured $63,000 in combined funding in the United States to advance an artificial intelligence-powered technology designed to improve electricity management in microgrid systems.
Amisu, an engineering researcher and doctoral student in Energy Science and Engineering at the University of Tennessee, Knoxville, is leading the development of an AI-driven hybrid microgrid control system that coordinates renewable energy sources, battery storage and other power resources to meet changing electricity demands.
The technology is designed to improve the integration of renewable energy into microgrids by helping manage different power sources more efficiently.
According to a report by PUNCH, the project initially received $13,000 through the Tennessee Technology Advancement Consortium’s Proof-of-Concept programme to support its early development and validation.
Amisu was subsequently recognised among the 2026 Proof-of-Concept awardees by Launch Tennessee, an organisation that supports innovation and entrepreneurship.
The research team later secured an additional $50,000 through the United States National Science Foundation’s National Innovation Corps (I-Corps) programme to investigate the technology’s commercial potential.
The two awards bring the total project support to $63,000.
If successfully developed and commercialised, the technology could help microgrid operators coordinate solar power, battery storage and other electricity sources to respond more effectively to changing energy demand.
Microgrids are localised electricity systems that can operate independently of the main power grid. They can support homes, businesses and communities by providing an alternative means of generating and distributing electricity.
The project represents a step towards assessing how artificial intelligence can contribute to more efficient and reliable energy management.
However, the funding is intended to support development and commercial assessment; widespread deployment and the technology’s actual impact on electricity reliability will depend on further progress and implementation.
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