Optimal charging schedule for autonomous drone delivery considering dynamic electricity rate
The dissertation explores the optimization of charging schedules for autonomous drone delivery (ADD) systems operating under dynamic electricity rate, focusing on last-mile delivery scenarios. It aims to minimize the total operational costs, including charging and penalty costs, while also ensuri...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2025
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| Online Access: | https://hdl.handle.net/10356/182750 |