Research Assitant | Chonnam National University | South Korea
Mr. Celestine Obi is a dynamic researcher whose work advances renewable energy systems, smart grids, AI-driven optimization, and digital twin technologies, with strong interests in voltage stability, energy trading, and multi-objective optimization. His research skills include neural network modeling, predictive control, particle swarm optimization, hybrid algorithms, and intelligent energy management. He has contributed multiple impactful studies and received recognition through growing citations and scholarly influence. According to Scopus/Google Scholar data, he has 9 citations and an h-index of 2. His awards and honors reflect his commitment to innovative energy solutions, and his work continues to strengthen the future of smart, sustainable power systems.
Featured Publications
Application of Artificial Intelligence in Minimizing Voltage Deviation Using Neural Network Predictive Controller
– International Conference on Model and Data Engineering, 2024
Minimizing Electricity Cost in Energy Trading Using Particle Swarm Optimization
– KICS Conference Proceedings, 2023
Artificial Intelligence–Driven Digital Twin for Dynamic Pricing Model in Hybrid Optimization
– IEEE Access, 2025
Hybrid Optimization in Prosumer-to-Grid Energy Management System for Pareto-Optimal Solution
– Applied Sciences, 2025
A Study on Improving Voltage Stability Using Neural Network Predictive Controller in a Smart Microgrid System
– KICS Conference Proceedings, 2025