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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57371
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
9/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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