Master Thesis Data-Driven Identification and Forecasting of Thermal Flexibility in Residential Heat Pump Systems
Core
Automated estimation and forecasting of thermal flexibility potential in residential heat pump systems using monitoring data.
Role type
Master's thesis researcher (data-driven identification and forecasting)
Builds
Automated end-to-end workflow for flexibility estimation and forecasting
Domain
Energy systems / Thermal engineering / Data science
Deliverable
production ML models
Required skills
Python, data processing, thermal system characterization, flexibility estimation, data analysis
Preferred skills
database management, heat pump system knowledge
Technologies
Python
Responsibilities
Review existing approaches, analyze field monitoring data, define data processing workflows, identify key thermal parameters, integrate models into forecasting workflow, evaluate performance on individual homes and aggregated fleets, validate automated workflow
Seniority
Master's thesis researcher