Design and Implementation of a Decision Integration System for Monitoring and Optimizing Heating Systems: Results and Lessons Learned

Design and Implementation of a Decision Integration System for Monitoring and Optimizing Heating Systems: Results and Lessons Learned

With the increasing need to tackle climate change, energy efficiency and reduced CO<sub>2</sub> emissions are proving to be one of society’s greatest challenges. Special consideration should be given to heating systems as they are prone to inefficiency due to non-optimal controller confi...

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Bibliographic Details
Main Authors: Kirill Djebko, Daniel Weidner, Marcel Waleska, Timo Krey, Bhaskar Kamble, Sven Rausch, Dietmar Seipel, Frank Puppe
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
heating system optimization
artificial intelligence
decision integration system
decision support system
simulation
energy efficiency
Online Access:https://www.mdpi.com/1996-1073/17/24/6290
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