Heating nodes - Demand estimation
This project is focused on data processing and building models for estimation of power demand and flow in customers' heating nodes, depending on time of the year.
Problems:
- filtering out errors of measuring instruments
- rapid demand change detecion
- season classification
- demand modeling
Technologies:
- pandas
- NumPy
- scikit-learn
- SQL
- Git
Designed for internal use with IT infrastructure of Veolia Energia Warszawa S.A.