Data mining for the investigation of energy saving potentials at Cuppamare

Data mining for the investigation of energy saving potentials at Cuppamare

Cuppamare
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Environment:

The Cuppamare is a swimming pool in Kuppenheim and contributes to 40% of the annual energy demand of the city. The investigation of the data to be collected in the swimming pool is to identify possible energy saving potentials, e.g. with the help of data mining. This includes e.g. the investigation of the number of visitors depending on the time of day and the investigation of the air and water temperature depending on the time of day and the weather.
In close cooperation with the municipality of Kuppenheim and the Cuppamare, you can influence the climate friendliness of the coveted swimming pool and offer guests a more environmentally friendly leisure experience.

Objectives:

  • Collecting data at the Cuppamare
  • Apply data mining on the collected data
  • Investigate the savings potentials based on the data collected
  • Elaborate the recommendations for action to save the energy as an outlook.

Prerequisites:

  • Knowledge of statistics or machine learning
  • Knowledge of Python including the Pandas library
  • Working with databases