Development of hybrid artificial neural network for quantifying energy saving using measurement and verification

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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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Bibliographic Details
Published in:	Indonesian Journal of Electrical Engineering and Computer Science
Main Author:	Adnan W.N.W.M.; Dahlan N.Y.; Musirin I.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2017
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

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