Aldershot Teen's Algorithm SARAH Speeds Up PV System Fault Detection
Aldershot High School student Keerthana Srinivasan has made waves with her innovative system, SARAH, designed to swiftly detect and locate faults on large photovoltaic systems. Her work has earned her prestigious recognition and upcoming opportunities at top-tier institutions.
Keerthana's mother, a computer code writer, played a pivotal role in creating SARAH. The system can identify, classify, and pinpoint issues on large-scale PV systems in a mere 11-40 seconds, with minimal hardware setup required. Keerthana's inspiration for SARAH stemmed from her participation in a Mars mission simulation, where she witnessed communication inefficiencies and sought a more automated approach for emergency situations.
Keerthana's exceptional work on SARAH and other projects has opened doors to remarkable opportunities. She has been accepted as a summer intern at the renowned Max Planck Institute and will be heading to MIT for an internship before registering as an undergraduate at Princeton University. Her achievements have not gone unnoticed; Burlington MP Karina Gould even acknowledged her in the House of Commons.
Keerthana's system, SARAH, boasts versatility. It can be employed on PV systems both in space and on Earth, making it a valuable tool for various applications.
Keerthana Srinivasan, a standout student from Aldershot High School, has demonstrated remarkable prowess in computer science. Her system, SARAH, offers a swift and efficient solution for detecting and locating faults on large photovoltaic systems. With her upcoming internships at MIT and Princeton University, the future looks bright for this talented young innovator.
