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Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-D...

Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-D...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8a004df158e47fa95eb37a7ef41efc1

Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power Generation

About this item

Full title

Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power Generation

Publisher

Basel: MDPI AG

Journal title

Energies (Basel), 2020-10, Vol.13 (21), p.5619

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Modern data analytics techniques and computationally inexpensive software tools are fueling the commercial applications of data-driven decision making and process optimization strategies for complex industrial operations. In this paper, modern and reliable process modeling techniques, i.e., multiple linear regression (MLR), artificial neural networ...

Alternative Titles

Full title

Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power Generation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d8a004df158e47fa95eb37a7ef41efc1

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d8a004df158e47fa95eb37a7ef41efc1

Other Identifiers

ISSN

1996-1073

E-ISSN

1996-1073

DOI

10.3390/en13215619

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