An Optimized Data Analysis on a Real-Time Application of PEM Fuel Cell Design by Using Machine Learning Algorithms

• Published in: Algorithms Vol. 15; no. 10; p. 346
• Main Authors: Saco, Arun, Sundari, P. Shanmuga, J, Karthikeyan, Paul, Anand
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2022
• Subjects: Algorithms; Alternative energy sources; Artificial intelligence; Data analysis; Data mining; Design; Energy distribution; Energy efficiency; Fuel cell industry; Fuel cells; Humidification; KNN; Machine learning; Methods; Model accuracy; Numerical analysis; PEM fuel cells; Pressure distribution; Production costs; Proton exchange membrane fuel cells; Real time; Renewable energy; Simulation; Surface water; SVMR
• ISSN: 1999-4893; 1999-4893
• DOI: 10.3390/a15100346

In recent years, machine learning algorithms have been applied in many real-time applications. Crises in the energy sector are the primary challenges experienced today among all countries across the globe, regardless of their economic status. There is a huge demand to acquire and produce environment...