معرفی
Goyal Awagan is a researcher affiliated with Northumbria University, contributing to advancements in smart grid technologies and renewable energy systems. His work focuses on hybrid microgrid protection, machine learning applications for energy systems, and distributed energy resource management. Key research themes include fault detection, resilient grid design, and stochastic optimization for virtual power plants.
His notable publications explore topics such as protection frameworks for hybrid microgrids, demand response programs leveraging machine learning, and fault detection using LSTM networks. Goyal's research addresses challenges in grid reliability under weather intermittency and communication disruptions.
Despite his prolific output, no specific academic awards or student advising roles are explicitly mentioned in the provided texts. His contributions are primarily centered on interdisciplinary energy systems, emphasizing both theoretical and applied aspects of modern power infrastructure.
