A pattern-based automated approach to building energy model calibration
• A pattern-based automated calibration approach was developed. • Includes logic linking parameter tuning with bias pattern identification. • There are two types of bias patterns, Universal and Seasonal Bias. • The model calibration approach is implemented in a web-based platform. • The pattern-base...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sun, Kaiyu [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Risky business: Psychopathy, framing effects, and financial outcomes - Costello, Thomas H. ELSEVIER, 2018, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:165 ; year:2016 ; day:1 ; month:03 ; pages:214-224 ; extent:11 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apenergy.2015.12.026 |
|---|
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ELV014052539 |
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| 520 | |a • A pattern-based automated calibration approach was developed. • Includes logic linking parameter tuning with bias pattern identification. • There are two types of bias patterns, Universal and Seasonal Bias. • The model calibration approach is implemented in a web-based platform. • The pattern-based calibration approach can be universally adopted. | ||
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• A pattern-based automated calibration approach was developed. • Includes logic linking parameter tuning with bias pattern identification. • There are two types of bias patterns, Universal and Seasonal Bias. • The model calibration approach is implemented in a web-based platform. • The pattern-based calibration approach can be universally adopted. |
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