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

Panagiota Gianniou; Xiufeng Liu; Alfred Heller; Per Sieverts Nielsen; Carsten Rode

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

Panagiota Gianniou, Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen, Carsten Rode

Research output: Other contribution › Net publication - Internet publication › Communication

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Abstract

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.

Original language	English
Publication date	2020
Publisher	Technical University of Denmark
Number of pages	2
Publication status	Published - 2020

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title = "Clustering-Based Analysis: clustering-based analysis for residential district heating data",

abstract = "Information and communications technologies (ICTs) are revolutionizing today{\textquoteright}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.",

author = "Panagiota Gianniou and Xiufeng Liu and Alfred Heller and Nielsen, {Per Sieverts} and Carsten Rode",

year = "2020",

language = "English",

publisher = "Technical University of Denmark",

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T1 - Clustering-Based Analysis

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AU - Gianniou, Panagiota

AU - Liu, Xiufeng

AU - Heller, Alfred

AU - Nielsen, Per Sieverts

AU - Rode, Carsten

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

M3 - Net publication - Internet publication

PB - Technical University of Denmark

ER -

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

Abstract

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