A Platform for Optimizing District Heating Plants with Machine Learning

Thesis Type Bachelor
Thesis Status
Currently running
Student Lisa Schwarz
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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.