Mezban, AliYahya, KhalidAldababsa, MahmoudAmer, AymanHafez, MohamedYahya, Adel E. M.2024-09-112024-09-112023979-835037336-3https://doi.org/10.1109/EICEEAI60672.2023.10590536https://hdl.handle.net/11363/86042nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023 -- 27 December 2023 through 28 December 2023 -- Zarqa -- 201143This paper focuses on reducing technical and non-technical losses in low-voltage distribution networks. The study is conducted in two stages, where the capacity of each power transformer is determined, and the technical and non-technical losses within the network are assessed. The paper aims to identify the types and causes of these losses and proposes methods to determine technical losses in distribution networks accurately. The findings can be used to locate theft within the network using smart meter readings and voltage drop measurements at each load point. This study provides insights into improving the overall efficiency of distribution systems. © 2023 IEEE.eninfo:eu-repo/semantics/closedAccessEnergy Efficiency; Energy Management; Non-Technical Losses; Smart Meter; Technical Losses; Theft Detection; Voltage Drop MeasurementsConference Object10.1109/EICEEAI60672.2023.105905362-s2.0-85199992402N/A