اولاً. المصادر العربية:

الجبوري، ميسر إِبراهيم أَحمد،2021، إِدارة الجودة العاصرة جوانب نظرية وتطبيقات، الطبعة الثالثة،كلية الإِدارة والاقتصاد / جامعة الموصل، جمهورية العراق.

علو، علي صبري & عباس، محمد سعد،(2013)، تقليل الخسارة في الطاقة على خطوط التوزيع في نظم الطاقة الكهربائية: تقليل، الخسارة، في، الطاقة، على، خطوط، التوزيع، في، نظم، الطاقة، الكهربائية، مجلة الكلية الاسلامية الجامعة المجلد 1، العدد 25، ص 67-83.

ثانياً. المصادر الاجنبية:

Shiomi, R., Shimasaki, H., Takano, H., & Taoka, H. (2019). A study on operating lifetime estimation for electrical components in power grids on the basis of analysis of maintenance records. Journal of International Council on Electrical Engineering, 9(1), 45–52. https://doi.org/10.1080/22348972.2019.1612975

Mbembati, H., Ibwe, K., & Maiseli, B. (2023). Maintenance Scheduling Algorithm for Transformers in Tanzania Electrical Secondary Distribution Networks. Tanzania Journal of Science, 49(1), 167-182.‏ https://doi.org/10.4314/tjs.v49i1.15

Vita, V., Fotis, G., Chobanov, V., Pavlatos, C., & Mladenov, V. (2023). Predictive Maintenance for Distribution System Operators in Increasing Transformers’ Reliability. Electronics, 12(6). https://doi.org/10.3390/electronics12061356.

Choma, A. M. (2018). Reliability Evaluation of an Electric Power Distribution System: A Case Study in Gauteng Metropolitan Municipality (Publication Number 28284193) [M.E., University of Johannesburg (South Africa)]. ProQuest Dissertations & Theses Global. South Africa. https://ujcontent.uj.ac.za/vital/access/manager/Repository/uj:31957?site_name=GlobalView

Franck, C. M., Hsu, C. C., Xiao, Y., Bleuler, P., Frusque, G., Muratovic, M., & Polonelli, T. (2023). Transmission and distribution equipment: providing intelligent maintenance. IEEE Power and Energy Magazine, 21(2), 18-29.‏ https://doi.org/10.1109/mpe.2022.3230968

De Oliveira, M. M., & De Oliveira, P. M. F. (2023). Maintenance Strategy Based on Reliability: Case Study of a Company in the Electric Sector. Revista Latino-Americana de Inovação e Engenharia de Produção, 10(18).

https://doi.org/10.5380/relainep.v10i18.87068

Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of marketing, 49(4), 41-50. ‏

Obafemi, F. N., & Ifere, E. O. (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, 3(2), 185-192. ‏

da Silva, G. G., de Queiroz, A., Garbelini, E., dos Santos, W. P. L., Minussi, C. R., & Bonini Neto, A. (2024). Estimation of Total Real and Reactive Power Losses in Electrical Power Systems via Artificial Neural Network. Applied System Innovation, 7(3), 46.‏ https://doi.org/10.3390/asi7030046

Goglio, A. (2021). Meter tampering detection through short-lived patterns clustering (Master's thesis, Universitat Politècnica de Catalunya).‏

Shah, A. L. (2018). Accurate detection and correction of technical and non-technical losses using smart metering (Master's thesis, King Fahd University of Petroleum and Minerals (Saudi Arabia).‏

Au, M. T., & Tan, C. H. (2013, June). Energy flow models for the estimation of technical losses in distribution network. In IOP Conference Series: Earth and Environmental Science (Vol. 16, No. 1, p. 012035). IOP Publishing.‏

Guerrero, J. I., Monedero, I., Biscarri, F., Biscarri, J., Millan, R., & Leon, C. (2017). Non-technical losses reduction by improving the inspections accuracy in a power utility. IEEE Transactions on Power Systems, 33(2), 1209-1218.‏ https://doi.org/10.1109/tpwrs.2017.2721435

Zanetti, M., Jamhour, E., Pellenz, M., Penna, M., Zambenedetti, V., & Chueiri, I. (2017). A tunable fraud detection system for advanced metering infrastructure using short-lived patterns. IEEE Transactions on Smart grid, 10(1), 830-840.‏ https://doi.org/10.1109/tsg.2017.2753738