Design and investigation of small-scale long-distance RF energy harvesting system for wireless charging using CNN, LSTM, and reinforcement learning

Design and investigation of small-scale long-distance RF energy harvesting system for wireless charging using CNN, LSTM, and reinforcement learning

Introduction: The energy supply challenge in wireless charging applications is currently a significant research problem. To address this issue, this study introduces a novel small-scale long-distance radio frequency (RF) energy harvesting system that utilizes a hybrid model incorporating CNN, LSTM,...

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Bibliographic Details
Main Authors: Hao Zhang, Yue Wang, Hyeong Kwang Benno Park, Tae Hyun Sung
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Physics
Subjects:
RF energy harvesting
wireless charging
deep learning
convolutional neural network
long short-term memory network
reinforcement learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2024.1337421/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2024.1337421/full

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