Research

I am currently employed as a PhD student at the Technical University of Denmark in the Department of Applied Statistics.

My main research areas are as follows:

• Time-Series Analysis.
• Non-Parametric Estimation.
• Causal Machine Learning.

My focus is on applying the above techniques towards building modelling, i.e. accurate energy consumption forecasts, characteristic extraction and simulation of buildings and entire neighbourhoods.

Papers and publications:

Making the world a tiny bit better one research project at a time…

Pre-Prints:

• Conditional Parametric Armax Models For Observed Hourly Heat-Load Dynamics in Apartment Buildings

Master’s Thesis:

• Using Dynamic Double Machine Learning for Guided District Heating Forecasting and Physical Parameter Extraction