Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

Article ID	Journal	Published Year	Pages	File Type
6730788	Energy and Buildings	2016	39 Pages	PDF

Abstract

The results demonstrate that the proposed model with adaptive training methods is capable to predict the electricity consumption with 15-minute time intervals and the daily peak electricity usage reasonably well in a test case of a commercial building complex.

Keywords

Artificial Neural Network Bayesian Regularization Short-term load forecasting

Related Topics

Physical Sciences and Engineering Energy Renewable Energy, Sustainability and the Environment

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Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

Authors

Young Tae Chae, Raya Horesh, Youngdeok Hwang, Young M. Lee,