Machine Learning as a solution tool for district heating

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type 02 May 2020 English Publisher:ZenodoFunded by:EC | RELaTED

Authors: Mikel Lumbreras Mugaguren; Peter Friis Østergaard; Jakob Fester; Roberto Garay Martinez;

doi: 10.5281/zenodo.6611523 , 10.5281/zenodo.6611524

Machine Learning as a solution tool for district heating

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Abstract

In recent years, Machine Learning has become one of the most used techniques when modelling relationships between different parameters. Inspired by the successful integration of Machine Learning in many other areas, it is beginning to draw attention in the district heating sector as well. The application of Machine Learning in the context of district heating has an obvious potential as a component of tomorrows heating networks.

Keywords

Machine Learning, heating system, network level, heating networks, renewable energy, district heating

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