Department of Electrical and Computer Engineering<\/a>. \u201cWhat happens in one area can affect neighboring areas because they share power lines, weather patterns and energy markets. By continuously analyzing these pieces, we can predict energy needs more accurately and adapt to ensure both reliability and cost savings.\u201d<\/p>\nHow does GridFusionX work?<\/p>\n
The main innovation in the AI tool developed in this research is multi-modality: the ability to use many sources of information in estimates.<\/p>\n
\u201cWhether we\u2019re predicting power usage, traffic patterns or even weather, reducing uncertainty in our predictions lets us make smarter, more adaptive decisions that benefit daily life,\u201d said Associate Professor Olugbenga Moses Anubi and a co-author of the study.<\/p>\n
The system uses a graph neural network \u2014 a mathematical representation of connected objects \u2014 to map how what happens within one region in the power grid can affect neighboring regions. The tool addresses a critical gap in existing methods by providing both spatially connected predictions and measures of uncertainty.<\/p>\n
The model\u2019s precision allows grid operators to plan reserves more efficiently and respond proactively to sudden changes, such as spikes in demand or drops in renewable generation. In real-world tests across ten European regions, GridFusionX improved forecasting accuracy by up to 56% and cut reserve costs by as much as 66%, all while maintaining reliable service.<\/p>\n
Why it matters<\/p>\n
Today\u2019s power grids have become increasingly complex. Regional power nodes are linked not just by electrical lines, but also by market economics, weather patterns and other issues that affect power usage.<\/p>\n
\u201cRight now, utility companies estimate your usage to make sure you never underpay, which almost always means you overpay,\u201d Anubi said. \u201cWith our approach, predictions become more precise, so your bill matches what you truly use.\u201d<\/p>\n
Knowing how much energy is needed and when it is needed is a problem of predictability.<\/p>\n
\u201cThe main vision is engineering intelligence,\u201d said Associate Professor Ravikumar Gelli. \u201cWe want to help utility operator balance generation and load and help consumers pay less. That\u2019s the vision behind it.\u201d<\/p>\n
A new generation of energy scholars<\/p>\n
FAMU-FSU faculty are incorporating concepts used in this research into classes about cyber security systems for electric grids and artificial intelligence for power systems. Doctoral student researcher Quoc Bao Phan led the study.<\/p>\n
\u201cIt benefits students to work on a project like this because they have the chance to work with four faculty instead of just one,\u201d Anubi said. \u201cThis mentorship serves as a model for other students and other kinds of collaborations. There are good learning and research outcomes for students and that is also an important part of this project.\u201d<\/p>\n
Assistant Professor Abdulrahman Takiddin was also a co-author of this study. This work was supported by the FAMU-FSU College of Engineering.<\/p>\n
Visit the FAMU-FSU College of Engineering website<\/a> for more information about the research at the college. Visit the Center for Advanced Power Systems website<\/a> to learn more about advanced power system engineering research at the center.<\/p>\n","protected":false},"excerpt":{"rendered":"(Alt text: Five researchers stand together in a server room beside a desktop computer, with server racks, networking…\n","protected":false},"author":2,"featured_media":128046,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,25,64174,61134,18932,22720],"class_list":["post-128045","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-artificial-intelligence","tag-center-for-advanced-power-systems-caps","tag-department-of-electrical-and-computer-engineering","tag-faculty","tag-famu-fsu-college-of-engineering"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/128045","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=128045"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/128045\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/128046"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=128045"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=128045"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=128045"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
![\"\"](\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/08\/Researchers-2.jpg\")
(Alt text: Five researchers stand together in a server room beside a desktop computer, with server racks, networking equipment, and cabling visible in the background.)![\"A](\"https:\/\/www.europesays.com\/ai\/wp-content\/uploads\/2026\/08\/Simulation-Lab.jpg\")
A view of the simulation lab at the Center for Advanced Power Systems. (Scott Holstein\/FAMU-FSU College of Engineering)<\/p>\n