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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM57371

AI-Controlled Hybrid Wind-Solar Charging Dock of Delivery Drones

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM57371

Volume:

10 |

3 |

Mar 2026

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM57371

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MP

M. Prakash

DS

D. Sedhu

KR

K. Ragul

D

Dr.R.T.Ajaykarthik

D

Dr.D.R.P.Rajarathnam

R

R.Arunbabu

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Abstract

The growing need for sustainable and efficient delivery drone operations calls for advanced energy management solutions. This system leverages solar and wind renewable energy to power docking stations, creating a reliable and eco-friendly charging infrastructure. To ensure uninterrupted power, dual high-capacity batteries store surplus energy, providing a buffer during periods of low renewable generation. At the heart of the system is an AI-driven discharge optimization mechanism that intelligently manages battery usage based on real-time demand forecasts and environmental conditions. By balancing charging and discharging cycles across the two batteries, the AI extends battery life, boosts system reliability, and maintains consistent energy availability for drone operations. This intelligent control reduces maintenance costs while improving overall efficiency. In essence, this hybrid renewable energy solution with AI-based battery management delivers a resilient, sustainable, and future-ready charging network for drone delivery systems. It demonstrates how combining renewable resources with advanced AI can transform autonomous logistics, enabling greener and more reliable urban delivery.

KEYWORDS

Artificial Intelligence Hybrid Energy System Wind-Solar Power Smart Charging Dock Autonomous Delivery Drones Renewable Energy Integration Energy Optimization Sustainable Logistics Adaptive Control System.

Cite This Article

M. Prakash, D. Sedhu, K. Ragul, Dr.R.T.Ajaykarthik, Dr.D.R.P.Rajarathnam, R.Arunbabu, "AI-Controlled Hybrid Wind-Solar Charging Dock of Delivery Drones," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 3, Mar 2026. https://doi.org/10.55041/IJSREM57371

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Publication Date

9/2/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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3

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5

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The authors declare no conflict of interest related to this research work.

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