Time Series Clustering Analysis of Energy Consumption Data

The electricity grid is constantly developing and the system infrastructure is growing. In parallel, the producer-consumer profile, grid control architecture is changing. Data analysis, which is one of the most important subjects of our time, is very important for energy systems as in every field. F...

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Bibliographic Details
Published inInternational Conference on Renewable Energy Research and Applications (Online) pp. 409 - 413
Main Authors Cetinkaya, Umit, Avci, Ezgi, Bayindir, Ramazan
Format Conference Proceeding
LanguageEnglish
Published IEEE 27.09.2020
Subjects
Clustering Analysis
Data analysis
Energy consumption
Matlab
Optimization
Power grids
Renewable energy sources
Smart Grid
Time series analysis
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Summary:The electricity grid is constantly developing and the system infrastructure is growing. In parallel, the producer-consumer profile, grid control architecture is changing. Data analysis, which is one of the most important subjects of our time, is very important for energy systems as in every field. Forecasting, fault detection and prevention, optimization and behavioral analysis studies in electrical systems are highly useful for grid and market operators. In this study, we show the Matlab application developed for time series clustering analysis of energy consumption data. With the application, the time series clustering analysis of distribution grids according to consumption data have been made.
ISSN:2572-6013
DOI:10.1109/ICRERA49962.2020.9242763