Realization of Low-Code Algorithm for Steel Energy Consumption Prediction

The steel industry is one of the world's highest energy consumption. It is important to improve its energy efficiency. Energy consumption prediction can help steel industry better plan and manage energy use. Based on a low-code development platform, multiple prediction algorithm models are used...

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Veröffentlicht in:	IEEE International Conference on Computer Communication and the Internet (Online) S. 206 - 210
Hauptverfasser:	Ji, Wanzhou, Bian, Yunqi, Cai, Hongxia
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 14.06.2024
Schlagworte:	Computational modeling Deep Learning Energy conservation Energy consumption Energy Consumption Prediction Energy efficiency Low-Code Development Platform Prediction algorithms Predictive models Steel industry
ISSN:	2833-2350
Online-Zugang:	Volltext
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