Jan Lavenius
PHD at KTH Royal Institute of Technology
Stockholm County, Sweden
Summary
👤
Senior🎓
Top SchoolJan Lavenius is a power system engineer and PhD candidate at KTH Royal Institute of Technology with a decade of focused experience in voltage stability, dynamic state estimation, and PMU-based monitoring and control. He combines rigorous academic research with practical applications for stability assessment, translating synchrophasor data into actionable grid insights. Based in Stockholm County, he blends deep theory with hands-on implementation of real-time monitoring techniques for modern power systems. His work emphasizes leveraging measurements to improve situational awareness and control strategies, often revealing instability precursors that traditional models miss.
10 years of coding experience
Doctor of Philosophy - PhD, Electrical Engineering, Doctor of Philosophy - PhD, Electrical Engineering at KTH Royal Institute of Technology
Github Skills (21)
simulation10
modeling-tool10
simulations10
energy10
agent-based-modeling10
power-systems10
energy-system10
electrical-engineering10
modelica10
calibration9
renewable-energy9
acronym9
recursive9
model-validation8
parameter-estimation8
Programming languages (3)
Github contributions (5)
janlav/JanForkofiTesla_RaPId
Mar 2016 - Mar 2018
iTesla RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind of dynamical systems, but specifically catered to power systems.
Contributions:2 PRs, 22 pushes in 2 years
dynamical-systemssimulationrecursivemodeling-toolsupply-chain-management
janlav/ipsl
Dec 2015 - May 2016
Contributions:15 pushes, 8 branches, 2 tags in 4 months
simulationspower-systemdomainpowertime-domain
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.