Daily Load Forecasting and Data-Driven Strategies for Steel Industry Based on Random Forest Modeling

• Published in: Applied mathematics and nonlinear sciences Vol. 9; no. 1
• Main Authors: Wang, Siteng, Zhang, Luxi, Cao, Zhiyuan, Zhang, Rui, Zhang, Liwei
• Format: Journal Article
• Language: English
• Published: Sciendo 01.01.2024
• Subjects: 94A16; Daily load forecasting; Gray correlation projection method; Random forest; Situational awareness; Steel industry

As a large power consumer, the iron and steel industry urgently needs to improve productivity, reduce energy consumption, and save costs by revolutionizing energy management. In this study, we design a power demand management system for the iron and steel industry, and around the load management mod...