# An Overview of Drone Energy Consumption Factors and Models

arXiv: https://arxiv.org/abs/2206.10775 · HTML: https://mlsanity.com/paper/2206.10775/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 21 Jun 2022.

## Built on by (most cited first, 4 of 4)

- [HeteroEdge: Addressing Asymmetry in Heterogeneous Collaborative Autonomous Systems](https://mlsanity.com/paper/2305.03252/) (2023)
- [A Novel Federated Learning-Based IDS for Enhancing UAVs Privacy and Security](https://mlsanity.com/paper/2312.04135/) (2023)
- [Optimizing Energy and Data Collection in UAV-aided IoT Networks using Attention-based Multi-Objective Reinforcement Learning](https://mlsanity.com/paper/2601.14092/) (2026)
- [GeoWind2Plan: Mission-Time 3D Urban Wind Prediction for Energy-Efficient UAV Planning](https://mlsanity.com/paper/2609.36056/) (2026)

## Abstract (arXiv)

At present, there is a growing demand for drones with diverse capabilities that can be used in both civilian and military applications, and this topic is receiving increasing attention. When it comes to drone operations, the amount of energy they consume is a determining factor in their ability to achieve their full potential. According to this, it appears that it is necessary to identify the factors affecting the energy consumption of the unmanned air vehicle (UAV) during the mission process, as well as examine the general factors that influence the consumption of energy. This chapter aims to provide an overview of the current state of research in the area of UAV energy consumption and provide general categorizations of factors affecting UAV's energy consumption as well as an investigation of different energy models.