Data-driven assisted real-time optimal control strategy of submerged arc furnace via intelligent energy terminals considering large-scale renewable energy utilization

Data-driven assisted real-time optimal control strategy of submerged arc furnace via intelligent energy terminals considering large-scale renewable energy utilization

Abstract This study presents a data-driven assisted real-time optimization model which is an innovative approach to address the challenges posed by integrating Submerged Arc Furnace (SAF) systems with renewable energy sources, specifically photovoltaic (PV) and wind power, with modern intelligent en...

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Bibliographic Details
Main Authors: Bowen Zheng, Mingming Pan, Qixin Liu, Xu Xu, Chang Liu, Xuchen Wang, Wen Chu, Shiming Tian, Jindou Yuan, Yuting Xu, Zishang Xu, Yongjun Li
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-56193-0

Internet

https://doi.org/10.1038/s41598-024-56193-0

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