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Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewat...

Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewat...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_48251635a1d64638b632379c4be03d52

Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems

About this item

Full title

Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2022-04, Vol.15 (7), p.2500

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

One-stage production of carbohydrate-enriched microalgae biomass in wastewater is a promising option to obtain biofuels. Understanding the interaction of water quality parameters such as nutrients, carbon, internal carbohydrates, and microbial composition in the culture is crucial for efficient operation and viable large-scale cultivation. Bioproce...

Alternative Titles

Full title

Machine Learning Methods Modeling Carbohydrate-Enriched Cyanobacteria Biomass Production in Wastewater Treatment Systems

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_48251635a1d64638b632379c4be03d52

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_48251635a1d64638b632379c4be03d52

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en15072500

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