Objective
To develop a methodology for profiling commercial buildings using data collected from various sensors and meters (e.g., energy, temperature, occupancy), with the goal of identifying usage patterns
Expected Outcomes
- A data processing pipeline for cleaning, aggregating, and analyzing building sensor data.
- Visual and statistical profiles of building usage patterns.
- Insights into energy consumption trends, occupancy behaviour
Tools & Technologies
- Python (Pandas, NumPy, Scikit-learn, Matplotlib)
- Optional: IoT platforms or building management systems (BMS)