Applied Data Analysis in Energy Monitoring System
Software and hardware system organization is presented as an example for building energy monitoring of multi-sectional lighting and climate control / conditioning needs. System key feature is applied office energy data analysis that allows to provide each type of hardware localized work mode recogni...
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| Format: | Article |
| Language: | English |
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Academy of Sciences of Moldova
2016-08-01
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| Series: | Problems of the Regional Energetics |
| Subjects: | |
| Online Access: | http://journal.ie.asm.md/assets/files/10_02_31_2016.pdf |
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| _version_ | 1849253858668183552 |
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| author | Kychkin А.V. Mikriukov G.P. |
| author_facet | Kychkin А.V. Mikriukov G.P. |
| author_sort | Kychkin А.V. |
| collection | DOAJ |
| description | Software and hardware system organization is presented as an example for building energy monitoring of multi-sectional lighting and climate control / conditioning needs. System key feature is applied office energy data analysis that allows to provide each type of hardware localized work mode recognition. It is based on general energy consumption profile with following energy consumption and workload evaluation. Applied data analysis includes primary data processing block, smoothing filter, time stamp identification block, clusterization and classification blocks, state change detection block, statistical data calculation block. Time slot consumed energy value and slot time stamp are taken as work mode classification main parameters. Energy data applied analysis with HIL and OpenJEVis visualization system usage experimental research results for chosen time period has been provided. Energy consumption, workload calculation and eight different states identification has been executed for two lighting sections and one climate control / conditioning emulating system by integral energy consumption profile. Research has been supported by university internal grant №2016/PI-2 «Methodology development of monitoring and heat flow utilization as low potential company energy sources». |
| format | Article |
| id | doaj-art-58e43c8b2a684e1cae615bffe170c7cc |
| institution | Kabale University |
| issn | 1857-0070 |
| language | English |
| publishDate | 2016-08-01 |
| publisher | Academy of Sciences of Moldova |
| record_format | Article |
| series | Problems of the Regional Energetics |
| spelling | doaj-art-58e43c8b2a684e1cae615bffe170c7cc2025-08-20T03:56:12ZengAcademy of Sciences of MoldovaProblems of the Regional Energetics1857-00702016-08-012016-31028492Applied Data Analysis in Energy Monitoring SystemKychkin А.V.0Mikriukov G.P.1Perm National Research Polytechnic University Perm, RussiaPerm National Research Polytechnic University Perm, RussiaSoftware and hardware system organization is presented as an example for building energy monitoring of multi-sectional lighting and climate control / conditioning needs. System key feature is applied office energy data analysis that allows to provide each type of hardware localized work mode recognition. It is based on general energy consumption profile with following energy consumption and workload evaluation. Applied data analysis includes primary data processing block, smoothing filter, time stamp identification block, clusterization and classification blocks, state change detection block, statistical data calculation block. Time slot consumed energy value and slot time stamp are taken as work mode classification main parameters. Energy data applied analysis with HIL and OpenJEVis visualization system usage experimental research results for chosen time period has been provided. Energy consumption, workload calculation and eight different states identification has been executed for two lighting sections and one climate control / conditioning emulating system by integral energy consumption profile. Research has been supported by university internal grant №2016/PI-2 «Methodology development of monitoring and heat flow utilization as low potential company energy sources».http://journal.ie.asm.md/assets/files/10_02_31_2016.pdfenergy dataaenergy monitoring |
| spellingShingle | Kychkin А.V. Mikriukov G.P. Applied Data Analysis in Energy Monitoring System Problems of the Regional Energetics energy data a energy monitoring |
| title | Applied Data Analysis in Energy Monitoring System |
| title_full | Applied Data Analysis in Energy Monitoring System |
| title_fullStr | Applied Data Analysis in Energy Monitoring System |
| title_full_unstemmed | Applied Data Analysis in Energy Monitoring System |
| title_short | Applied Data Analysis in Energy Monitoring System |
| title_sort | applied data analysis in energy monitoring system |
| topic | energy data a energy monitoring |
| url | http://journal.ie.asm.md/assets/files/10_02_31_2016.pdf |
| work_keys_str_mv | AT kychkinav applieddataanalysisinenergymonitoringsystem AT mikriukovgp applieddataanalysisinenergymonitoringsystem |