Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management
This paper presents a method for assigning the electricity consumption profiles of 10,129 commercial customers in Poland to specific industry profiles. The customer consumption data were compared with eight industry profiles for which the business activities were known. Additionally, a clustering an...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/17/23/6120 |
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| author | Tomasz Zabkowski Krzysztof Gajowniczek Jacek Brożyna Grzegorz Matejko |
| author_facet | Tomasz Zabkowski Krzysztof Gajowniczek Jacek Brożyna Grzegorz Matejko |
| author_sort | Tomasz Zabkowski |
| collection | DOAJ |
| description | This paper presents a method for assigning the electricity consumption profiles of 10,129 commercial customers in Poland to specific industry profiles. The customer consumption data were compared with eight industry profiles for which the business activities were known. Additionally, a clustering analysis was conducted to identify homogeneous groups among the customers. The aim of this research was to develop a simple yet reliable approach for matching electricity usage patterns with specific profiles while relating them to the overall profile of the Polish power system. This offers valuable insights into how commercial customers utilize electricity and their actual contributions to the system’s peak load, which can further contribute to more efficient energy management and production planning within the Polish power system. Furthermore, the clustering analysis provides a new understanding of consumption patterns, allowing for better predictions of peak load behavior and more refined energy management strategies across sectors. |
| format | Article |
| id | doaj-art-cf8d069db9d04276934be454e64d6be1 |
| institution | Kabale University |
| issn | 1996-1073 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj-art-cf8d069db9d04276934be454e64d6be12024-12-13T16:26:06ZengMDPI AGEnergies1996-10732024-12-011723612010.3390/en17236120Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power ManagementTomasz Zabkowski0Krzysztof Gajowniczek1Jacek Brożyna2Grzegorz Matejko3Institute of Information Technology, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, 02-787 Warsaw, PolandInstitute of Information Technology, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159, 02-787 Warsaw, PolandDepartment of Quantitative Methods, The Faculty of Management, Rzeszow University of Technology, Aleja Powstańców Warszawy 10/S, 35-959 Rzeszow, PolandPolskie Towarzystwo Cyfrowe, Krakowskie Przedmieście 57/4, 20-076 Lublin, PolandThis paper presents a method for assigning the electricity consumption profiles of 10,129 commercial customers in Poland to specific industry profiles. The customer consumption data were compared with eight industry profiles for which the business activities were known. Additionally, a clustering analysis was conducted to identify homogeneous groups among the customers. The aim of this research was to develop a simple yet reliable approach for matching electricity usage patterns with specific profiles while relating them to the overall profile of the Polish power system. This offers valuable insights into how commercial customers utilize electricity and their actual contributions to the system’s peak load, which can further contribute to more efficient energy management and production planning within the Polish power system. Furthermore, the clustering analysis provides a new understanding of consumption patterns, allowing for better predictions of peak load behavior and more refined energy management strategies across sectors.https://www.mdpi.com/1996-1073/17/23/6120commercial customersclusteringdemand profilesPolish power system |
| spellingShingle | Tomasz Zabkowski Krzysztof Gajowniczek Jacek Brożyna Grzegorz Matejko Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management Energies commercial customers clustering demand profiles Polish power system |
| title | Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management |
| title_full | Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management |
| title_fullStr | Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management |
| title_full_unstemmed | Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management |
| title_short | Matching Electricity Footprint of Commercial Customers to Industry-Specific Profiles for Enhanced Power Management |
| title_sort | matching electricity footprint of commercial customers to industry specific profiles for enhanced power management |
| topic | commercial customers clustering demand profiles Polish power system |
| url | https://www.mdpi.com/1996-1073/17/23/6120 |
| work_keys_str_mv | AT tomaszzabkowski matchingelectricityfootprintofcommercialcustomerstoindustryspecificprofilesforenhancedpowermanagement AT krzysztofgajowniczek matchingelectricityfootprintofcommercialcustomerstoindustryspecificprofilesforenhancedpowermanagement AT jacekbrozyna matchingelectricityfootprintofcommercialcustomerstoindustryspecificprofilesforenhancedpowermanagement AT grzegorzmatejko matchingelectricityfootprintofcommercialcustomerstoindustryspecificprofilesforenhancedpowermanagement |