Application of hybrid computational intelligence models in short-term bus load forecasting

作者：

Highlights：

• The paper focuses in short-term bus load forecasting.

• Three forecasting models are proposed and tested.

• The load profiling methodology is combined with neural network.

摘要

•The paper focuses in short-term bus load forecasting.•Three forecasting models are proposed and tested.•The load profiling methodology is combined with neural network.

论文关键词：Artificial neural networks,Bus load forecasting,Load modeling,Time-series clustering

论文评审过程：Received 30 April 2015, Revised 20 January 2016, Accepted 21 January 2016, Available online 3 February 2016, Version of Record 17 February 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.01.034