Predicting electrical power output of combined cycle power plants using a novel artificial neural network optimized by electrostatic discharge algorithm
• Electrical power output of power plants is predicted with high accuracy. • Electrostatic discharge algorithm is for the first time used for this aim. • Regular MLPs are compared to ESDA- and ASO-optimized versions. • ESDA-MLP is the most efficient model. • An explicit predictive formula is derived...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Zhao, Yinghao [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: High-performance and self-calibrating multi-gas sensor interface to trace multiple gas species with sub-ppm level - Kwon, Yeong Min ELSEVIER, 2022, journal of the International Measurement Confederation (IMEKO), Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:198 ; year:2022 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.measurement.2022.111405 |
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| 520 | |a • Electrical power output of power plants is predicted with high accuracy. • Electrostatic discharge algorithm is for the first time used for this aim. • Regular MLPs are compared to ESDA- and ASO-optimized versions. • ESDA-MLP is the most efficient model. • An explicit predictive formula is derived for convenient early prediction. | ||
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• Electrical power output of power plants is predicted with high accuracy. • Electrostatic discharge algorithm is for the first time used for this aim. • Regular MLPs are compared to ESDA- and ASO-optimized versions. • ESDA-MLP is the most efficient model. • An explicit predictive formula is derived for convenient early prediction. |
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• Electrical power output of power plants is predicted with high accuracy. • Electrostatic discharge algorithm is for the first time used for this aim. • Regular MLPs are compared to ESDA- and ASO-optimized versions. • ESDA-MLP is the most efficient model. • An explicit predictive formula is derived for convenient early prediction. |
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• Electrical power output of power plants is predicted with high accuracy. • Electrostatic discharge algorithm is for the first time used for this aim. • Regular MLPs are compared to ESDA- and ASO-optimized versions. • ESDA-MLP is the most efficient model. • An explicit predictive formula is derived for convenient early prediction. |
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