Dynamic Operation Optimization of Complex Industries Based on a Data-Driven Strategy

As industrial practices continue to evolve, complex process industries often exhibit characteristics such as multivariate correlation, dynamism, and nonlinearity, making traditional mechanism modeling inadequate in terms of addressing the intricacies of complex industrial problems. In recent years,...

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Veröffentlicht in:	Processes Jg. 12; H. 1; S. 189
Hauptverfasser:	Tian, Huixin, Zhao, Chenning, Xie, Jueping, Li, Kun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2024
Schlagworte:	Air quality management Algorithms Artificial intelligence Big Data Control theory Correlation Decision making Drift Efficiency Energy consumption Environmental changes Forecasts and trends Industrial equipment Industrial production Mathematical optimization Multiple objective analysis Multivariate analysis Nonlinear systems Nonlinearity Objectives Optimization Optimization models Research methodology State-of-the-art reviews Time series New York
ISSN:	2227-9717, 2227-9717
Online-Zugang:	Volltext
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