IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v147y2021ics1364032121004937.html
   My bibliography  Save this article

Non-technical losses: A systematic contemporary article review

Author

Listed:
  • Savian, Fernando de Souza
  • Siluk, Julio Cezar Mairesse
  • Garlet, Taís Bisognin
  • do Nascimento, Felipe Moraes
  • Pinheiro, José Renes
  • Vale, Zita

Abstract

Non-technical losses refer to all electricity consumption not billed and represent a significant problem that has consequences to all sectors and a substantial negative impact on some geographical areas. These losses are complex and are attributed to several factors, leading researchers, concessionaires, and regulatory agents to seek successful solutions to reduce their effects. Thus, this article aims to identify the worldwide panorama on non-technical losses, presenting their impacts and the leading strategies and policies to mitigate them, helping the public and private sectors to understand the theme to outline effective solutions to combat this problem. A systematic review of the literature has been performed using the review protocol Preferred Reporting Items for Systematic Reviews and Meta-Analyzes, which resulted in 121 journal articles published between 2000 and 2020. The results comprise a complete definition of non-technical loss, its consequences for countries, distribution utilities, and society, the barriers and strategies for their identification, and the principal policies and regulations in countries of all levels of Gross National Income per capita. The main contribution of this article is to demonstrate the impact of non-technical losses to society and the economy, and the research and investigation directions so that frauds in the electricity sector are mitigated.

Suggested Citation

  • Savian, Fernando de Souza & Siluk, Julio Cezar Mairesse & Garlet, Taís Bisognin & do Nascimento, Felipe Moraes & Pinheiro, José Renes & Vale, Zita, 2021. "Non-technical losses: A systematic contemporary article review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
  • Handle: RePEc:eee:rensus:v:147:y:2021:i:c:s1364032121004937
    DOI: 10.1016/j.rser.2021.111205
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032121004937
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.rser.2021.111205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Zaman Sajid & Asma Javaid, 2018. "A Stochastic Approach to Energy Policy and Management: A Case Study of the Pakistan Energy Crisis," Energies, MDPI, vol. 11(9), pages 1-18, September.
    2. Depuru, Soma Shekara Sreenadh Reddy & Wang, Lingfeng & Devabhaktuni, Vijay, 2011. "Electricity theft: Overview, issues, prevention and a smart meter based approach to control theft," Energy Policy, Elsevier, vol. 39(2), pages 1007-1015, February.
    3. Yurtseven, Çağlar, 2015. "The causes of electricity theft: An econometric analysis of the case of Turkey," Utilities Policy, Elsevier, vol. 37(C), pages 70-78.
    4. Zanardo, Rafael Petri & Siluk, Julio Cezar Mairesse & de Souza Savian, Fernando & Schneider, Paulo Smith, 2018. "Energy audit model based on a performance evaluation system," Energy, Elsevier, vol. 154(C), pages 544-552.
    5. Kumar V., Sampath & Prasad, Jagdish & Samikannu, Ravi, 2017. "Overview, issues and prevention of energy theft in smart grids and virtual power plants in Indian context," Energy Policy, Elsevier, vol. 110(C), pages 365-374.
    6. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Theft in Mexico," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 250-254.
    7. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Losses: A Panel Data Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 281-286.
    8. Min, Brian & Golden, Miriam, 2014. "Electoral cycles in electricity losses in India," Energy Policy, Elsevier, vol. 65(C), pages 619-625.
    9. Ghajar, Raymond & Khalife, Joe & Richani, Brahim, 2000. "Design and cost analysis of an automatic meter reading system for Electricite du Liban," Utilities Policy, Elsevier, vol. 9(4), pages 193-205, December.
    10. Villar-Rodriguez, Esther & Del Ser, Javier & Oregi, Izaskun & Bilbao, Miren Nekane & Gil-Lopez, Sergio, 2017. "Detection of non-technical losses in smart meter data based on load curve profiling and time series analysis," Energy, Elsevier, vol. 137(C), pages 118-128.
    11. Zeeshan Aslam & Nadeem Javaid & Ashfaq Ahmad & Abrar Ahmed & Sardar Muhammad Gulfam, 2020. "A Combined Deep Learning and Ensemble Learning Methodology to Avoid Electricity Theft in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-24, October.
    12. Never, Babette, 2015. "Social norms, trust and control of power theft in Uganda: Does bulk metering work for MSEs?," Energy Policy, Elsevier, vol. 82(C), pages 197-206.
    13. Cummins, Mark & Gillanders, Robert, 2020. "Greasing the Turbines? Corruption and access to electricity in Africa," Energy Policy, Elsevier, vol. 137(C).
    14. Konstantinos V. Blazakis & Theodoros N. Kapetanakis & George S. Stavrakakis, 2020. "Effective Electricity Theft Detection in Power Distribution Grids Using an Adaptive Neuro Fuzzy Inference System," Energies, MDPI, vol. 13(12), pages 1-13, June.
    15. Garlet, Taís Bisognin & Ribeiro, José Luis Duarte & de Souza Savian, Fernando & Mairesse Siluk, Julio Cezar, 2019. "Paths and barriers to the diffusion of distributed generation of photovoltaic energy in southern Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 111(C), pages 157-169.
    16. Yakubu, Osman & Babu C., Narendra & Adjei, Osei, 2018. "Electricity theft: Analysis of the underlying contributory factors in Ghana," Energy Policy, Elsevier, vol. 123(C), pages 611-618.
    17. Tasdoven, Hidayet & Fiedler, Beth Ann & Garayev, Vener, 2012. "Improving electricity efficiency in Turkey by addressing illegal electricity consumption: A governance approach," Energy Policy, Elsevier, vol. 43(C), pages 226-234.
    18. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    19. Frances Ngozi Obafemi & Eugene Okoi Ifere, 2013. "Non-Technical Losses, Energy Efficiency and Conservative Methodology in the Electricity Sector of Nigeria: The Case of Calabar, Cross River State," International Journal of Energy Economics and Policy, Econjournals, vol. 3(2), pages 185-192.
    20. Ahmad, Tanveer & Chen, Huanxin & Wang, Jiangyu & Guo, Yabin, 2018. "Review of various modeling techniques for the detection of electricity theft in smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2916-2933.
    21. Albert Calvo & Bernat Coma-Puig & Josep Carmona & Marta Arias, 2020. "Knowledge-Based Segmentation to Improve Accuracy and Explainability in Non-Technical Losses Detection," Energies, MDPI, vol. 13(21), pages 1-15, October.
    22. Alireza Vahabzadeh & Alibakhsh Kasaeian & Hasan Monsef & Alireza Aslani, 2020. "A Fuzzy-SOM Method for Fraud Detection in Power Distribution Networks with High Penetration of Roof-Top Grid-Connected PV," Energies, MDPI, vol. 13(5), pages 1-24, March.
    23. Jamil, Faisal, 2018. "Electricity theft among residential consumers in Rawalpindi and Islamabad," Energy Policy, Elsevier, vol. 123(C), pages 147-154.
    24. de Oliveira Ventura, Lucas & Melo, Joel D. & Padilha-Feltrin, Antonio & Fernández-Gutiérrez, Juan Pablo & Sánchez Zuleta, Carmen C. & Piedrahita Escobar, Carlos César, 2020. "A new way for comparing solutions to non-technical electricity losses in South America," Utilities Policy, Elsevier, vol. 67(C).
    25. Mwaura, Francis M., 2012. "Adopting electricity prepayment billing system to reduce non-technical energy losses in Uganda: Lesson from Rwanda," Utilities Policy, Elsevier, vol. 23(C), pages 72-79.
    26. Simões, Paulo Fernando Mahaz & Souza, Reinaldo Castro & Calili, Rodrigo Flora & Pessanha, José Francisco Moreira, 2020. "Analysis and short-term predictions of non-technical loss of electric power based on mixed effects models," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    27. Xiaofeng Feng & Hengyu Hui & Ziyang Liang & Wenchong Guo & Huakun Que & Haoyang Feng & Yu Yao & Chengjin Ye & Yi Ding, 2020. "A Novel Electricity Theft Detection Scheme Based on Text Convolutional Neural Networks," Energies, MDPI, vol. 13(21), pages 1-17, November.
    28. Ahmad, Tanveer, 2017. "Non-technical loss analysis and prevention using smart meters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 573-589.
    29. Bernat Coma-Puig & Josep Carmona, 2019. "Bridging the Gap between Energy Consumption and Distribution through Non-Technical Loss Detection," Energies, MDPI, vol. 12(9), pages 1-17, May.
    30. Jamil, Faisal, 2013. "On the electricity shortage, price and electricity theft nexus," Energy Policy, Elsevier, vol. 54(C), pages 267-272.
    31. Hamdan, H.A. & Ghajar, R.F. & Chedid, R.B., 2012. "A simulation model for reliability-based appraisal of an energy policy: The case of Lebanon," Energy Policy, Elsevier, vol. 45(C), pages 293-303.
    32. Jamil, Faisal & Ahmad, Eatzaz, 2019. "Policy considerations for limiting electricity theft in the developing countries," Energy Policy, Elsevier, vol. 129(C), pages 452-458.
    33. Xiaoquan Lu & Yu Zhou & Zhongdong Wang & Yongxian Yi & Longji Feng & Fei Wang, 2019. "Knowledge Embedded Semi-Supervised Deep Learning for Detecting Non-Technical Losses in the Smart Grid," Energies, MDPI, vol. 12(18), pages 1-18, September.
    34. Corton, Maria Luisa & Zimmermann, Aneliese & Phillips, Michelle Andrea, 2016. "The low cost of quality improvements in the electricity distribution sector of Brazil," Energy Policy, Elsevier, vol. 97(C), pages 485-493.
    35. Joseph, Kelli L., 2010. "The politics of power: Electricity reform in India," Energy Policy, Elsevier, vol. 38(1), pages 503-511, January.
    36. Tugba Somuncu & Christopher Hannum, 2018. "The Rebound Effect of Energy Efficiency Policy in the Presence of Energy Theft," Energies, MDPI, vol. 11(12), pages 1-28, December.
    37. Viegas, Joaquim L. & Esteves, Paulo R. & Melício, R. & Mendes, V.M.F. & Vieira, Susana M., 2017. "Solutions for detection of non-technical losses in the electricity grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1256-1268.
    38. Ghajar, Raymond F. & Khalife, Joseph, 2003. "Cost/benefit analysis of an AMR system to reduce electricity theft and maximize revenues for Électricité du Liban," Applied Energy, Elsevier, vol. 76(1-3), pages 25-37, September.
    39. Razavi, Rouzbeh & Gharipour, Amin & Fleury, Martin & Akpan, Ikpe Justice, 2019. "A practical feature-engineering framework for electricity theft detection in smart grids," Applied Energy, Elsevier, vol. 238(C), pages 481-494.
    40. Felipe Moraes do Nascimento & Julio Cezar Mairesse Siluk & Fernando de Souza Savian & Taís Bisognin Garlet & José Renes Pinheiro & Carlos Ramos, 2020. "Factors for Measuring Photovoltaic Adoption from the Perspective of Operators," Sustainability, MDPI, vol. 12(8), pages 1-29, April.
    41. Smith, Thomas B., 2004. "Electricity theft: a comparative analysis," Energy Policy, Elsevier, vol. 32(18), pages 2067-2076, December.
    42. Daniel Leite & José Pessanha & Paulo Simões & Rodrigo Calili & Reinaldo Souza, 2020. "A Stochastic Frontier Model for Definition of Non-Technical Loss Targets," Energies, MDPI, vol. 13(12), pages 1-20, June.
    43. Costa-Campi, Maria Teresa & Daví-Arderius, Daniel & Trujillo-Baute, Elisa, 2018. "The economic impact of electricity losses," Energy Economics, Elsevier, vol. 75(C), pages 309-322.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Klug, Thomas W. & Beyene, Abebe D. & Meles, Tensay H. & Toman, Michael A. & Hassen, Sied & Hou, Michael & Klooss, Benjamin & Mekonnen, Alemu & Jeuland, Marc, 2022. "A review of impacts of electricity tariff reform in Africa," Energy Policy, Elsevier, vol. 170(C).
    2. Yang, Kaixiang & Chen, Wuxing & Bi, Jichao & Wang, Mengzhi & Luo, Fengji, 2023. "Multi-view broad learning system for electricity theft detection," Applied Energy, Elsevier, vol. 352(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fernando de Souza Savian & Julio Cezar Mairesse Siluk & Tai s Bisognin Garlet & Felipe Moraes do Nascimento & Jose Renes Pinheiro & Zita Vale, 2022. "Non-technical Losses in Brazil: Overview, Challenges, and Directions for Identification and Mitigation," International Journal of Energy Economics and Policy, Econjournals, vol. 12(3), pages 93-107, May.
    2. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Losses: A Panel Data Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 281-286.
    3. Hugo Brise o & Jessica Rubiano & Rodolfo Garc a & Omar Rojas, 2021. "Factors Associated with Electricity Losses in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 465-470.
    4. Jamil, Faisal & Ahmad, Eatzaz, 2019. "Policy considerations for limiting electricity theft in the developing countries," Energy Policy, Elsevier, vol. 129(C), pages 452-458.
    5. Muhammad Salman Saeed & Mohd Wazir Mustafa & Nawaf N. Hamadneh & Nawa A. Alshammari & Usman Ullah Sheikh & Touqeer Ahmed Jumani & Saifulnizam Bin Abd Khalid & Ilyas Khan, 2020. "Detection of Non-Technical Losses in Power Utilities—A Comprehensive Systematic Review," Energies, MDPI, vol. 13(18), pages 1-25, September.
    6. Babar, Zainab & Jamil, Faisal & Haq, Wajiha, 2022. "Consumer's perception towards electricity theft: A case study of Islamabad and Rawalpindi using a path analysis," Energy Policy, Elsevier, vol. 169(C).
    7. Darragh Carr & Murray Thomson, 2022. "Non-Technical Electricity Losses," Energies, MDPI, vol. 15(6), pages 1-14, March.
    8. Wabukala, Benard M. & Mukisa, Nicholas & Watundu, Susan & Bergland, Olvar & Rudaheranwa, Nichodemus & Adaramola, Muyiwa S., 2023. "Impact of household electricity theft and unaffordability on electricity security: A case of Uganda," Energy Policy, Elsevier, vol. 173(C).
    9. de Oliveira Ventura, Lucas & Melo, Joel D. & Padilha-Feltrin, Antonio & Fernández-Gutiérrez, Juan Pablo & Sánchez Zuleta, Carmen C. & Piedrahita Escobar, Carlos César, 2020. "A new way for comparing solutions to non-technical electricity losses in South America," Utilities Policy, Elsevier, vol. 67(C).
    10. Gautier, Axel & Nsabimana, René & Walheer, Barnabé, 2023. "Quality performance gaps and minimal electricity losses in East Africa," Utilities Policy, Elsevier, vol. 82(C).
    11. Stracqualursi, Erika & Rosato, Antonello & Di Lorenzo, Gianfranco & Panella, Massimo & Araneo, Rodolfo, 2023. "Systematic review of energy theft practices and autonomous detection through artificial intelligence methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    12. Hugo Brise o & Omar Rojas, 2020. "Factors Associated with Electricity Theft in Mexico," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 250-254.
    13. Daniel Leite & José Pessanha & Paulo Simões & Rodrigo Calili & Reinaldo Souza, 2020. "A Stochastic Frontier Model for Definition of Non-Technical Loss Targets," Energies, MDPI, vol. 13(12), pages 1-20, June.
    14. Viegas, Joaquim L. & Esteves, Paulo R. & Melício, R. & Mendes, V.M.F. & Vieira, Susana M., 2017. "Solutions for detection of non-technical losses in the electricity grid: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1256-1268.
    15. Gideon Otchere-Appiah & Shingo Takahashi & Mavis Serwaa Yeboah & Yuichiro Yoshida, 2021. "The Impact of Smart Prepaid Metering on Non-Technical Losses in Ghana," Energies, MDPI, vol. 14(7), pages 1-16, March.
    16. Adongo, Charles Atanga & Taale, Francis & Bukari, Shaibu & Suleman, Shafic & Amadu, Iddrisu, 2021. "Electricity theft whistleblowing feasibility in commercial accommodation facilities," Energy Policy, Elsevier, vol. 155(C).
    17. Marco Toledo-Orozco & Carlos Arias-Marin & Carlos Álvarez-Bel & Diego Morales-Jadan & Javier Rodríguez-García & Eddy Bravo-Padilla, 2021. "Innovative Methodology to Identify Errors in Electric Energy Measurement Systems in Power Utilities," Energies, MDPI, vol. 14(4), pages 1-23, February.
    18. Nadeem, Ahmad & Arshad, Naveed, 2021. "A data-driven approach to reduce electricity theft in developing countries," Utilities Policy, Elsevier, vol. 73(C).
    19. Arkorful, Vincent Ekow, 2022. "Unravelling electricity theft whistleblowing antecedents using the theory of planned behavior and norm activation model," Energy Policy, Elsevier, vol. 160(C).
    20. Tomasz Wołowiec & Svitlana Kolosok & Tetiana Vasylieva & Artem Artyukhov & Łukasz Skowron & Oleksandr Dluhopolskyi & Larysa Sergiienko, 2022. "Sustainable Governance, Energy Security, and Energy Losses of Europe in Turbulent Times," Energies, MDPI, vol. 15(23), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:147:y:2021:i:c:s1364032121004937. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.