CUED Publications database

Ensemble deep learning for regression and time series forecasting

Qiu, X and Zhang, L and Ren, Y and Suganthan, P and Amaratunga, G (2014) Ensemble deep learning for regression and time series forecasting. In: UNSPECIFIED.

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Abstract

In this paper, for the first time, an ensemble of deep learning belief networks (DBN) is proposed for regression and time series forecasting. Another novel contribution is to aggregate the outputs from various DBNs by a support vector regression (SVR) model. We show the advantage of the proposed method on three electricity load demand datasets, one artificial time series dataset and three regression datasets over other benchmark methods.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Subjects: UNSPECIFIED
Divisions: Div B > Electronics, Power & Energy Conversion
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 19:41
Last Modified: 13 Apr 2021 07:52
DOI: 10.1109/CIEL.2014.7015739