Data-driven identification and model predictive control of biomass gasification process for maximum energy production

Biomass gasification is an environment-friendly energy conversion process that utilizes bio-waste materials to produce combustible gases. In recent literature, machine learning-based techniques are used to model biomass gasification process. Even though these methods are reported for being viable, d...

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Veröffentlicht in:	Energy (Oxford) 2020-03, Vol.195, p.117037, Article 117037
Hauptverfasser:	Elmaz, Furkan, Yücel, Özgün
Format:	Artikel
Sprache:	eng
Schlagworte:	biogasification Biomass Biomass energy production compliance Control systems design Controllers Data collection Energy conversion Flammability Gases Gasification Hydrogen production Industrial applications Learning algorithms Machine learning Model predictive control Neural networks Nonlinear autoregressive neural networks Optimization Polynomial regression Polynomials prediction Predictive control Regression analysis Regression models Time dependence Usability User satisfaction Waste materials wastes
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