Development of Hybrid Artificial Neural Network for Quantifying Energy Saving using Measurement and Verification
This paper presents a Hybrid Artificial Neural Network (HANN) for chiller system Measurement and Verification (M&V) model development. In this work, hybridization of Evolutionary Programming (EP) and Artificial Neural Network (ANN) are considered in modeling the baseline electrical energy consum...
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| Main Authors: | , , |
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| Format: | EJournal Article |
| Published: |
Institute of Advanced Engineering and Science,
2017-10-01.
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| Subjects: | |
| Online Access: | Get fulltext |
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