Yaju Rajbhandari
PhD Student
Postgraduate Student
UCC Energy Transition Energy Management

OVERVIEW 

Yaju has research experience in demand management strategies, electric load analysis and forecasting, and energy optimization. His earlier experience includes working at Yatri Motorcycles, where he contributed to the firmware and hardware development of the Battery Management System for lithium-ion batteries. He was involved in algorithm development and testing to estimate the State of Charge (SOC) and State of Health (SOH) of electric vehicle batteries.

During his MS Research at Kathmandu University, he worked on developing and analysing demand management strategies for isolated, renewable-supported microgrid systems. He have contributed to publishing over eight papers in peer-reviewed journals and conferences.

CURRENT ACTIVITIES

Currently, Yaju is engaged in research on autonomous energy systems, with a particular focus on the autonomous control and distribution of electric loads. His work involves developing and refining algorithms, leveraging AI and machine learning techniques to enable efficient, self-regulating energy distribution within smart grids.

 BACKGROUND:

Before pursuing his MS in Research, he worked as a Battery System Engineer at Yatri Motorcycles, where he served as a Research and Development Engineer. During this time, he contributed significantly to the development of the Battery Management System (BMS) for electric vehicles, focusing on both hardware and firmware aspects.

Prior to this, he completed his MS by Research from Kathmandu University, Nepal, in 2022, following his Bachelor of Engineering degree from the same institution in Dhulikhel, Nepal, in 2018.

 

 

Feature Project

AUTONOMY

AUTONOMY proposes the world’s first autonomous community energy management system, demonstrating the advantages of an electricity grid supported by autonomously-operated, decentralised cells over present centralised command and control approaches.

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