Residential heating transition towards low carbon technologies: analysis of UK household survey data

For my Master’s dissertation, I analysed a large-scale UK household survey to understand consumer adoption of demand-side solutions. Using advanced statistical and modelling techniques in Python and R, I tested the behavioural and economic factors influencing acceptance.

The project blends technical rigour with behavioural insight, aiming to inform policy and business strategies for decarbonising heating. It represents the capstone of my MSc in Sustainable Energy Futures.

Year
2025

Imperial College London
MSc Sustainable Energy Futures

Skills gained: Advanced data analytics (Python, R and Excel), demand forecasting, survey modelling, consumer behaviour analysis, and policy-relevant insights.