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Analysis of High Frequency Smart Meter Energy Consumption Data
Alexander Martin Tureczek
Department of Technology, Management and Economics
CITIES - Centre for IT-Intelligent Energy Systems
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Book/Report
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Ph.D. thesis
535
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Dive into the research topics of 'Analysis of High Frequency Smart Meter Energy Consumption Data'. Together they form a unique fingerprint.
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Computer Science
Smart Meters
100%
Energy Consumption
100%
Cluster Variance
27%
Electricity Consumption
18%
Consumption Pattern
18%
Reproducibility
9%
K-Means Clustering
9%
Variance Ratio
9%
Cluster Stability
9%
Collected Data
9%
Hierarchical Clustering
9%
Cluster Structure
9%
Demand Analysis
9%
Engineering
Energy Consumption Data
100%
Smart Meter
100%
District Heating
18%
Consumption Pattern
18%
Electricity Consumption
18%
Applicability
9%
Term Stability
9%
Electricity Grid
9%
Electricity Demand
9%
Collected Data
9%
Heat Exchange
9%
Hierarchical Clustering
9%
Keyphrases
Electricity Data
28%
Cluster Potential
14%