A Platform for Optimizing District Heating Plants with Machine Learning

Thesis Type Bachelor
Thesis Status
Currently running
Student Lisa Schwarz
Thesis Supervisor

This thesis will analyze the economics, the efficiency and the different customers of district heating plants with the help of a database. This includes structuring the data according to requirements, organizing the data collected over a period of five years, and developing a web platform to represent the outcome. Additionally, machine learning will be utilized to estimate the prospective values for the future, providing benefits for the plant operator.