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...
| Published in: | Indonesian Journal of Electrical Engineering and Computer Science |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85037646168&doi=10.11591%2fijeecs.v8.i1.pp137-145&partnerID=40&md5=e4bdebf5c076994f51054e093e783930 |