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Clustering-Based Analysis: clustering-based analysis for residential district heating data

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Department of Civil Engineering, Technical University of Denmark1

Sustainability, Department of Technology, Management and Economics, Technical University of Denmark2

Energy Systems Analysis, Sustainability, Department of Technology, Management and Economics, Technical University of Denmark3

Department of Technology, Management and Economics, Technical University of Denmark4

Materials and Durability, Department of Civil Engineering, Technical University of Denmark5

CITIES - Centre for IT-Intelligent Energy Systems, Centers, Technical University of Denmark6

Information and communications technologies (ICTs) are revolutionizing today’s energy management systems. Their defining characteristic is to use smart meters to monitor energy consumption. The wide use of smart meters enables collection of a large amount of fine-granular time series, which can be used to improve the understanding of consumption behaviour and used for consumption optimization.

Language: English
Year: 2020
Types: Other
ORCIDs: Gianniou, Panagiota , Liu, Xiufeng , Heller, Alfred , Nielsen, Per Sieverts and Rode, Carsten

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Analysis