Characterization of the Electrical Energy Consumption of Some Areas Supplied by the Lomé a Interconnection Station of the CEET in Lomé, Togo: Analysis and Discussion
- 1 Department of Electrical Engineering, University of Lomé, Regional Excellence Center for Electricity Management (CERME), Lomé, Togo
- 2 Department of Electrical Engineering, University of Lomé, Lomé, Togo
Abstract
This study aims to analyze the electricity consumption of Greater Lomé (Togo), a critical issue in view of the increasing needs and imperatives of energy transition. We used 63,943 data samples from the Togo Electric Energy Company (CEET), covering eight sites spread across three municipalities over a period of 84 months (2018-2024). A multidimensional statistical approach was used to evaluate active power through nine indicators, including central tendency, dispersion and distribution shape measures (skewness and kurtosis). The results show three distinct distribution profiles: symmetrical, asymmetrical and random. The maximum consumption observed varies from 5.643 MW to 9.900 MW, while the average consumption is between 2.800 MW and 5.620 MW. The analysis reveals similarities between the sites: Four sites (ADIDOGOME, DOGBEAVOU, CASABLANCA, GARAGE CENTRAL) show averages between 3.000 MW and 3.700 MW; three sites (AVENOU, GAKLI, N’DANIDA) show almost identical averages, around 4 to 5 MW. The ADEWI site records the lowest average (2.000 to 3.000 MW). Given the shape indicators, it is difficult to determine the average production power required per site. For this purpose, it is necessary to try in future work the use of artificial intelligence to create models and make good decisions.
DOI: https://doi.org/10.3844/ajeassp.2026.1.38
Copyright: © 2026 Krou Iparbè, Palanga Eyouléki Tcheyi Gnadi, Apaloo Bara Komla Kpomonè, Baraté Mohamed, Baba Kpatchaa Tombana and Lamboni Yendoubouame. This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Analysis
- Characterization
- Electrical Energy
- Interconnection Station
- Power Consumption
- Statistical Parameters