Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
This paper examines and analyzes different aggregation algorithms to improve accuracy of forecasts obtained using neural network (NN) ensembles. These algorithms include equal-weights combination of Best NN models, combination of trimmed forecasts, and Bayesian Model Averaging (BMA). The predictive...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Published: |
2013
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893605961&doi=10.1109%2fIJCNN.2013.6707005&partnerID=40&md5=2608e9da6bb1925a2b5b236d72dee395 http://eprints.utp.edu.my/32527/ |
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