Efficient Integration of Machine Learning into District Heating Predictive Models

Modern control strategies for district-level heating and cooling supply systems pose a difficult challenge. In order to integrate a wide range of hot and cold sources, these new systems will rely heavily on accumulation and much lower operating temperatures. This means that predictive models advisin...

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Bibliographic Details
Main Authors: Libor Kudela, Radomír Chýlek, Jiří Pospíšil
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/23/6381