Work

Optimal Scheduling and Deep Reinforcement Learning for Multimodal Charging System via Unmanned Aerial Vehicles

Year: 2024

Type: article

Source: IEEE Transactions on Green Communications and Networking

DOI: 10.1109/tgcn.2024.3490739

Authors: Ziyi Lu, Xuehe Wang, Zhe Wang, Yiyang Pei

Institutions: Sun Yat-sen University, Nanjing University of Science and Technology, Singapore Institute of Technology

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funders: National Research Foundation, National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1703116803, G524497075, G6683432282, G6893990029

OpenAlex ID: W4404035251

FWCI: 0.175

Cites: 50

Cited by: 1

Related to: 10