Optimization and Application of Multi-source Data-driven Sensing Terminal for Photovoltaic-Energy Storage System
Authors: 
Yueming Ding, Rongxi Cu, Zhicai Xiang, Jiayu Xu, Zongfeng Zhang, Wei Wang, Xiaolin Li, Xiaohua AnAuthors Info & Claims
Yueming Ding, Rongxi Cu, Zhicai Xiang, Jiayu Xu, Zongfeng Zhang, Wei Wang, Xiaolin Li, Xiaohua AnAuthors Info & ClaimsPages 189 - 193
Abstract
With the rapid development of renewable energy, photovoltaic (PV) generation and energy storage systems play an increasingly important role in the energy sector. To achieve efficient operation and low-carbon goals of PV generation and energy storage systems, this paper proposes an optimization and application approach for a multi-source data-driven photovoltaic energy storage integrated sensing terminal. The terminal enables real-time sensing, monitoring, and optimization of PV generation and energy storage systems by collecting, integrating, and analyzing information from multiple data sources. By applying this terminal, system efficiency, reliability, and energy utilization can be improved, providing support for the sustainable development of PV generation and energy storage systems.
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- Optimization and Application of Multi-source Data-driven Sensing Terminal for Photovoltaic-Energy Storage System
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Published In
December 2023
467 pages
ISBN:9798400716966
DOI:10.1145/3661638
Copyright © 2023 ACM.
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Association for Computing Machinery
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Published: 01 June 2024
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AISNS 2023
AISNS 2023: 2023 International Conference on Artificial Intelligence, Systems and Network Security
December 22 - 24, 2023
Mianyang, China
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