Nilson Fernando Henao Ph.D.Research Officer

Nilson Henao Profile IRH
  • Machine Learning
  • Modeling and simulation of building energy systems
  • Electrical load signature
  • Intelligent buildings
  • Smart metering
  • Power-based electric vehicle energy consumption modeling

Nilson Henao received his B.S. degree in Electronics Engineering from the Universidad de los Llanos, Villavicencio, Colombia, in 2010, his M.Sc. degree in 2013 and his Ph.D. degree in 2018 in Electrical Engineering from the University of Quebec at Trois-Rivieres (UQTR), Trois-Rivieres, QC, Canada. His research interests Bayesian methods for machine learning with applications to residential energy analysis, nonintrusive load monitoring (NILM), and energy efficiency evaluation of electric vehicles.

+1 (819) 376-5011 Ext: 4457
1716, Tapan K. Bose