Improved Prediction of the Higher Heating Value of Biomass Using an Artificial Neural Network Model Based on the Selection of Input Parameters

Recently, biomass has become an increasingly widely used energy resource. The problem with the use of biomass is its variable composition. The most important property that determines the energy content and thus the performance of fuels such as biomass is the heating value (HHV). This paper focuses o...

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Hlavní autoři:	Justyna Kujawska, Monika Kulisz, Piotr Oleszczuk, Wojciech Cel
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-05-01
Edice:	Energies
Témata:	HHV forecasting artificial neural networks multivariate adaptive regression splines approach
On-line přístup:	https://www.mdpi.com/1996-1073/16/10/4162
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