Bongumsa Mendu
Papers
2
Total Citations
6
H-Index
1
About
Bongumsa Mendu is a rising researcher at the forefront of artificial intelligence and sustainable energy systems. His work focuses on two critical, interconnected domains: advanced neural network algorithms for renewable energy forecasting and intelligent control strategies for hybrid energy systems and electric vehicles. In his highly cited 2024 review, Mendu provides a comprehensive global analysis of neural network and hybrid models for wind power forecasting, demonstrating how bio-inspired computing can address complex challenges in data mining and robotics to optimize renewable energy integration. His research on battery management systems (BMS) and energy management strategies is equally impactful, exploring how precise monitoring, temperature control, and cell balancing can enhance battery performance, safety, and lifespan while optimizing power distribution in electric vehicles. Though early in his career, Mendu’s work is already garnering attention for its practical implications in the global transition to clean energy. His contributions offer a vital bridge between cutting-edge AI techniques and real-world energy solutions, making him a promising voice for students and researchers interested in the intersection of machine learning, sustainable power, and electric mobility.
Research Focus
Key Achievements
Top Papers
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