Sanitation and Analysis of Operation Data in Energy Systems

Gerhard Zucker, Usman Habib, Max Blöchle, Florian Judex and Thomas Leber
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Gerhard Zucker: AIT Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria
Usman Habib: AIT Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria
Max Blöchle: AIT Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria
Florian Judex: AIT Austrian Institute of Technology, Giefinggasse 2, Vienna 1210, Austria
Thomas Leber: Omnetric GmbH, Ruthnergasse 3, Vienna 1210, Austria

Energies, 2015, vol. 8, issue 11, 1-19

Abstract: We present a workflow for data sanitation and analysis of operation data with the goal of increasing energy efficiency and reliability in the operation of building-related energy systems. The workflow makes use of machine learning algorithms and innovative visualizations. The environment, in which monitoring data for energy systems are created, requires low configuration effort for data analysis. Therefore the focus lies on methods that operate automatically and require little or no configuration. As a result a generic workflow is created that is applicable to various energy-related time series data; it starts with data accessibility, followed by automated detection of duty cycles where applicable. The detection of outliers in the data and the sanitation of gaps ensure that the data quality is sufficient for an analysis by domain experts, in our case the analysis of system energy efficiency. To prove the feasibility of the approach, the sanitation and analysis workflow is implemented and applied to the recorded data of a solar driven adsorption chiller.

Keywords: data sanitation workflow; machine learning; k -means clustering; outlier detection; z?score normalization; adsorption chillers; first principle (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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