ELECTRICITY CONSUMERS AND ELECTRICITY THEFT IN EDO STATE, NIGERIA: IMPLICATION FOR EFFICIENT POWER DISTRIBUTION
DOI:
https://doi.org/10.53555/nneee.v9i3.1579Keywords:
electricity theft, consumers, BEDC, power distributionAbstract
Over the years, Nigeria has faced the challenges of inadequate generation, supply, and distribution of power. There is growing concern about the pervasiveness of electricity theft in the country, suggested to be among the chief factors inhibiting electricity sector efficiencies. The present study aimed to ascertain the trend of electricity theft among electricity consumers in Edo state, Nigeria. The study adopted a survey method to examine the prevalence of electricity theft among households in randomly selected towns in Edo state, Nigeria. The study population comprised electricity consumers under the residential category described by the BEDC. A convenient sample of 217 residential consumers and BEDC officials completed the research questionnaires. The finding shows that 32.7% of the electricity consumers indicated they never participated in energy theft, while 67.3% showed high involvement. A linear regression analysis was conducted to answer whether electricity theft affects efficient power distribution in Edo state. The result demonstrated a statistically significant effect of electricity theft on efficient power distribution in Edo state F (1, 12), 21.36 P< .05. Also, the R2 indicated that electricity theft contributed about 54.4% of the inefficiencies in power distribution in Edo state. Thus, it is concluded that the trend of electricity theft is high in the area of study and significantly affects the efficient distribution of electricity. The result provides valuable data to the government and electricity regulators.
References
Adedeji, A. O. (2017). Privatization and performance of electricity distribution companies in Nigeria. Journal of Public Administration and Governance, 7(3). https://doi.org/10.5296/jpag.v7i3.11168
Adil, M., Javaid, N., Qasim, U., Ullah, I., Shafiq, M., & Choi, J. G. (2020). LSTM and bat-based rusboost approach for electricity theft detection. Applied Sciences (Switzerland), 10(12). https://doi.org/10.3390/app10124378
Adongo, C. A., Taale, F., Bukari, S., Suleman, S., & Amadu, I. (2021). Electricity theft whistleblowing feasibility in commercial accommodation facilities. Energy Policy, 155. https://doi.org/10.1016/j.enpol.2021.112347
Amadi, H. N. (2015). Power outages in Port Harcourt City: Problems and solutions. IOSR Journal of Electrical and Electronics Engineering Ver. III, 10(2). https://doi.org/10.9790/1676-10235966
Amuta E., Wara S. T., Agbetuyi F., M. S. (2018). Smart grid technology potentials in Nigeria: an Overview. International Journal of Applied Engineering Research, 32(2)(ISSN 0973-4562).
Arango, L. G., Deccache, E., Bonatto, B. D., Arango, H., & Pamplona, E. O. (2017). Study of electricity theft impact on the economy of a regulated electricity company. Journal of Control, Automation, and Electrical Systems, 28(4). https://doi.org/10.1007/s40313-017-0325-z
Arif, A., Javaid, N., Aldegheishem, A., & Alrajeh, N. (2021). Big data analytics for identifying electricity theft using machine learning approaches in microgrids for smart communities. Concurrency and Computation: Practice and Experience, 33(17). https://doi.org/10.1002/cpe.6316
Arkorful, V. E. (2022). Unraveling electricity theft whistleblowing antecedents using the theory of planned behavior and norm activation model. Energy Policy, 160. https://doi.org/10.1016/j.enpol.2021.112680
Arowolo, W., & Perez, Y. (2020). Market reform in the Nigeria power sector: A review of the issues and potential solutions. Energy Policy, 144. https://doi.org/10.1016/j.enpol.2020.111580
Aslam, Z., Ahmed, F., Almorgen, A., Shafiq, M., Zuair, M., & Javaid, N. (2020). An Attention Guided Semi-supervised Learning Mechanism to Detect Electricity Frauds in the Distribution Systems. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3042636
de Oliveira Ventura, L., Melo, J. D., Padilha-Feltrin, A., Fernández-Gutiérrez, J. P., Sánchez Zuleta, C. C., & Piedrahita Escobar, C. C. (2020). A new way for comparing solutions to non-technical electricity losses in South America. Utility Policy, 67. https://doi.org/10.1016/j.jup.2020.101113
Dike, D. O., Obiora, U. A., Nwokorie, E. C., & Dike, B. C. (2015). Minimizing household electricity theft in Nigeria using GSM-Based prepaid meter. American Journal of Engineering Research (AJER), 4(1).
Ebhota, W. S., & Tabakov, P. Y. (2018). Power Inadequacy, the Thorn in Economic Growth of Nigeria. In International Journal of Applied Engineering Research (Vol. 13).
Ekere, J. N., Akor, P. U., & Akor, S. O. (2019). The use of ICT for security and theft prevention in two university libraries in Nigeria. Library Philosophy and Practice, 2019.
Emem, O. (2015). The Energy Crisis in Nigeria and the Role of Law in Promoting Renewable Energy Development. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2672625
Feng, X., Hui, H., Liang, Z., Guo, W., Que, H., Feng, H., Yao, Y., Ye, C., & Ding, Y. (2020). A novel electricity theft detection scheme based on text convolutional neural networks. Energies, 13(21). https://doi.org/10.3390/en13215758
Garba, A., Zubairu, T., & Ryal-Net, M. B. (2014). Nigeria Electricity Crisis Rescue Platform: Renewable Energy Technologies Option. International Journal in Advanced Research in Social Engineering and Development Strategies, 2(1).
Hardianto, H., & Akbar, A. (2021). Study the Form of Electricity Theft in Area X. International Journal of Multi-Discipline Science (IJ-MDS), 4(2). https://doi.org/10.26737/ij-mds.v4i2.2738
Jain, A., & Bagree, M. (2011). A prepaid meter using mobile communication. International Journal of Engineering, Science, and Technology, 3(3). https://doi.org/10.4314/ijest.v3i3.68432
Jimah, K. Q., Isah, A. W., & Okundamiya, M. S. (2019). Erratic and Epileptic Power Supply in Nigeria: Causes and Solutions. Advances in Electrical and Telecommunication Engineering (AETE) ISSN: 2636-7416, 2(1).
Josephine, M. M., & Nathan, D. (2016). Curtailing energy theft by remote monitoring case study: University of Nigeria, Nsukka. Lecture Notes in Engineering and Computer Science, 2225.
Kambule, N., & Nwulu, N. (2021). Rationale Part II: A Misdiagnosis of Non-payment and Electricity Theft. In Lecture Notes in Electrical Engineering (Vol. 759). https://doi.org/10.1007/978-3-030-71217-4_3
Khan, Z. A., Adil, M., Javaid, N., Saqib, M. N., Shafiq, M., & Choi, J. G. (2020). Electricity theft detection using supervised learning techniques on smart meter data. Sustainability (Switzerland), 12(19). https://doi.org/10.3390/su12198023
Khonjelwayo, B., & Nthakheni, T. (2021). Determining the causes of electricity losses and the role of management in curbing them: A case study of City of Tshwane Metropolitan Municipality, South Africa. Journal of Energy in Southern Africa, 32(4). https://doi.org/10.17159/2413-3051/2021/v32i4a8704
Komolafe, O. M., & Udofia, K. M. (2020). Review of electrical energy losses in Nigeria. Nigerian Journal of Technology, 39(1). https://doi.org/10.4314/njt.v39i1.28
Lavanya, S., Arunmozhi, R., Ramesh, B., & Thulasi Yammal, C. (2020). Electricity theft and transmission losses in India. Journal of Advanced Research in Dynamical and Control Systems, 12(2). https://doi.org/10.5373/JARDCS/V12I2/S20201249
Lin, G., Feng, X., Guo, W., Cui, X., Liu, S., Jin, W., Lin, Z., & Ding, Y. (2021). Electricity Theft Detection Based on Stacked Autoencoder and the Undersampling and Resampling Based Random Forest Algorithm. IEEE Access, 9. https://doi.org/10.1109/ACCESS.2021.3110510
Louw, Q., & Bokoro, P. (2019). An alternative technique for detecting and mitigating electricity theft in south Africa. SAIEE Africa Research Journal, 110(4). https://doi.org/10.23919/SAIEE.2019.8864147
Naik, S., & Patil, S. (2020). Smart electricity measuring system. 2020 International Conference for Emerging Technology, INCET 2020. https://doi.org/10.1109/INCET49848.2020.9153974
Nwachukwu, M. U. (2014). Comparative Analysis of Electricity Consumption among Residential, Commercial and Industrial Sectors of Nigeria's Economy. ISSN, 4(3).
Odje, M., Uhunmwangho, R., & Okedu, K. E. (2021). Aggregated Technical Commercial and Collection Loss Mitigation Through a Smart Metering Application Strategy. Frontiers in Energy Research, 9. https://doi.org/10.3389/fenrg.2021.703265
Ogu, R. E., Chukwudebe, G. A., & Ezenugu, I. A. (2016). An IoT-Based Tamper Prevention System for Electricity Meter. American Journal of Engineering Research (AJER), 5.
Ogunyemi, J., & Adetona, Z. A. (2019). Power Quality Survey of Voltage Stabilizers and Uninterruptible Power Supply With Nonlinear Loads. European Journal of Electrical Engineering and Computer Science, 3(6). https://doi.org/10.24018/ejece.2019.3.6.141
Okafor, E. E. (2008). Development Crisis of Power Supply and Implications for Industrial Sector in Nigeria. Studies of Tribes and Tribals, 6(2). https://doi.org/10.1080/0972639x.2008.11886580
Okorie, P. U., & Abdu, A. I. (2015). Reliability Evaluation of Power Distribution Network System in Kano Metropolis of Nigeria. International Journal of Electrical and Electronic Science, 2(1).
Olaosebikan Aremu, J. (2019). Epileptic Electric Power Generation and Supply in Nigeria: Causes, Impact, and Solution. Journal of Contemporary Research in Social Sciences, 1(3). https://doi.org/10.33094/26410249.2019.13.73.81
Oluwole, A., Samuel, O., Festus, O., Olatunji, O., & Polytechnic, R. G. (2012). Electrical power outage in Nigeria?: History, causes and possible solutions. Journal of Energy Technologies and Policy, 2(6).
Osigwe, A. (2018). Electricity Theft in Nigeria?: How Effective Are the Existing Laws?? Journal of Energy Technologies and Policy, 8(8).
Smith, T. B. (2004). Electricity theft: A comparative analysis. Energy Policy, 32(18). https://doi.org/10.1016/S0301-4215(03)00182-4
Umar, H. A., Fonkam, M., & Prasad, R. (2022). Towards the sustainability of power utilities in Nigeria: a Bayesian network approach. International Journal of Information Technology (Singapore), 14(3). https://doi.org/10.1007/s41870-022-00876-2
Yakubu, O., Babu C., N., & Adjei, O. (2018). Electricity theft: Analysis of the underlying contributory factors in Ghana. Energy Policy, 123. https://doi.org/10.1016/j.enpol.2018.09.019
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