rajanie prabha

Hi, I am Rajanie. I am a Power Systems AI Engineer at GridCARE, where we work on accelerating time-to-power for AI infrastructure.

I recently finished my PhD at Stanford University, advised by Prof. Ram Rajagopal in the Civil and Environmental Engineering Department. My research applied machine learning to power grid problems: spatial mapping of grid assets, equity in resource distribution, and grid utilization and optimization. My PhD thesis is available here.

Earlier, I earned a B.Tech in Computer Engineering from NIT Kurukshetra and an MS in Informatics from TU Munich, with my MS thesis done at ETH Zurich.

Email: rajanie [at] stanford [dot] edu

Rajanie Prabha
Updates
Working Papers
WECC transmission study
Widespread thermal headroom and localized bottlenecks coexist in the Western Interconnection bulk grid Rajanie Prabha, Liang Min, Ram Rajagopal
Preprint, 2026
ArcGIS StoryMap
Press: Stanford, Public Power, World Economic Forum, Yahoo Finance, NW Council, Utility Dive
Publications
SolarCast distribution
Where Solar Surges Next: Distribution-Planning Forecasts from Zero-Inflated Neural Models Rajanie Prabha, Chad Zanocco, Zhecheng Wang, June Flora, Ram Rajagopal
ACM E-Energy, 2026
California 230-kV line utilization
From Trilemma to Triumph: Powering California's Data Center Boom Liang Min, Rajanie Prabha, Ram Rajagopal, William Chueh
IEEE Energy Sustainability Magazine, 2026
DeepSolar AE
Nationwide insights on solar deployment trends and spatial inequalities revealed by vision transformer models Rajanie Prabha, Zhecheng Wang, Chad Zanocco, June Flora, Ram Rajagopal
Applied Energy, 2026
DeepSolar-3M
DeepSolar-3M: An AI-Enabled Solar PV Database Documenting 3 Million Systems Across the US Rajanie Prabha, Zhecheng Wang, Chad Zanocco, June Flora, Ram Rajagopal
ICLR Workshop TCCML, 2025
Spotlight, Best Paper Award
GitHub, 🤗 Dataset
Non-residential solar
Exploring the Potential of Non-Residential Solar to Tackle Energy Injustice Moritz Wussow, Chad Zanocco, Zhecheng Wang, Rajanie Prabha, June Flora, Dirk Neumann, Arun Majumdar, Ram Rajagopal
Nature Energy, 2024
Press: Stanford, TechXplore
SkyScript
SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing Zhecheng Wang, Rajanie Prabha*, Tianyuan Huang*, Jiajun Wu, Ram Rajagopal
AAAI, 2024  (* equal contribution)
GitHub
MiikeMineStamps
MiikeMineStamps: A Long-Tailed Dataset of Japanese Stamps via Active Learning Paola A. Buitrago, Evgeny Toropov, Rajanie Prabha, Julian Uran, Raja Adal
ICDAR, 2021
GitHub, Dataset
Lake ice satellites
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams Using Machine Learning Manu Tom, Rajanie Prabha, Tianyu Wu, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
Remote Sensing MDPI, 2020
Lake ice webcams
Lake Ice Monitoring with Webcams and Crowd-Sourced Images Rajanie Prabha, Manu Tom, Mathias Rothermel, Emmanuel Baltsavias, Laura Leal-Taixé, Konrad Schindler
ISPRS, 2020
GitHub
Industry Experience
Selected Talks & Posters
Service & Peer Review
Teaching & Leadership
Course Project Posters