Energy consumption forecasting based on Elman neural networks with evolutive optimization

作者：

Highlights：

• One new method is proposed based on recurrent neural networks.

• The method addresses the problem of energy consumption forecasting.

• The method is evaluated using data form public buildings of University of Granada.

摘要

•One new method is proposed based on recurrent neural networks.•The method addresses the problem of energy consumption forecasting.•The method is evaluated using data form public buildings of University of Granada.

论文关键词：Energy efficiency,Neural networks,Time series forecasting,Evolutionary algorithm

论文评审过程：Received 12 July 2017, Revised 6 September 2017, Accepted 23 September 2017, Available online 29 September 2017, Version of Record 6 October 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.09.059