GRACE
Project Overview
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About
The GRACE project revolutionises energy management by addressing the challenges of integrating renewable sources into electrical grids. Traditional grids struggle with the unpredictability of renewables, leading to inefficiencies and high costs. GRACE uses AI and digital twin technologies to optimise energy distribution, providing accurate demand forecasts and real-time adjustments. This reduces energy waste, lowers operational expenses by up to 5%, and improves grid efficiency by up to 30%. GRACE's adaptability makes it suitable for diverse environments, supporting global sustainability goals
Team
Mauricio Hernandez
Duke University
Mauricio Hernandez is currently pursuing his Ph.D. in Energy and Environment at Duke University. He holds an M.Sc. in Manufacturing Systems and Automation and a B.Sc. in Electronics. He has engineering experience in the agriculture, automotive, and aviation industries. Recently, his research has focused on the analysis of energy systems in Latin America and the development of human and machine learning methods to improve the performance of energy management system models. He has professional certifications in project management, entrepreneurship, and LEED. His interests lie in energy sustainability, artificial intelligence, and process optimization.
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