Air compressor load forecasting using artificial neural network

作者：

Highlights：

• Prediction of air compressors' electrical load using artificial neural network.

• Modeling and prediction of maximum electric load demand.

• Energy demand management for short-term electrical load of an air compressor.

• Using the predicted energy consumption to reduce air compressor demand charges.

摘要

•Prediction of air compressors' electrical load using artificial neural network.•Modeling and prediction of maximum electric load demand.•Energy demand management for short-term electrical load of an air compressor.•Using the predicted energy consumption to reduce air compressor demand charges.

论文关键词：Load forecasting,Air compressor,Artificial neural network,FFNN,LSTM

论文评审过程：Received 25 May 2020, Revised 31 October 2020, Accepted 31 October 2020, Available online 16 November 2020, Version of Record 24 January 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114209