Optimization of energy acquisition system in smart grid based on artificial intelligence and digital twin technology
Abstract In response to the low operating speed and poor stability of energy harvesting systems in smart grids, an energy harvesting optimization method based on improved convolutional neural networks and digital twin technology is proposed in the experiment. Firstly, a smart grid data transmission...
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| Main Authors: | Zhen Jing, Qing Wang, Zhiru Chen, Tong Cao, Kun Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2024-11-01
|
| Series: | Energy Informatics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s42162-024-00425-0 |
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