Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
The aim of this research is to examine the efficiency of different aggregation algorithms to the forecasts obtained from individual neural network (NN) models in an ensemble. In this study an ensemble of 100 NN models are constructed with a heterogeneous architecture. The outputs from NN models are...
| Main Authors: | Hassan, S., Khosravi, A., Jaafar, J. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.26140 / |
| Published: |
Elsevier Ltd
2015
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907755879&doi=10.1016%2fj.ijepes.2014.08.025&partnerID=40&md5=29a4cada6d55259477ea44336663b025 http://eprints.utp.edu.my/26140/ |
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