Setati, TiroNkomo, Brighton V2025-01-162025-01-162024-122261-236Xhttps://doi.org/10.1051/matecconf/202440604011http://hdl.handle.net/10204/13937As popular as Unmanned Aerial Vehicles (UAVs) have become, one of their major drawbacks is their operational time. Specifications are provided about the possible length of their flights, but a detailed analysis of the operating time is needed when planning flights that utilise energy- consuming custom payloads without their own power supply. This paper makes use of flight data and various machine-learning algorithms to determine a power consumption model for a commercial UAV with a custom payload drawing power from the main power source to assist with flight planning, flight operations and battery management.FulltextenUnmanned Aerial VehiclesUAVsMachine learningArticlen/a