@inproceedings{347f4db8e2554efc923edc46f419f24c,
title = "A dispatch method of air compressors based on forecasting consumption",
abstract = "Pneumatic system operation status and problems were analyzed in the industrial production site; Considering the 24 hours as a time unit, the feature of compressed air consumption was studied every 20 seconds in 24 hours in the industrial production site. Then, presenting a forecasting method, which is workable and the overall mean in line with air consumption changes in the law. This forecasting method is for the purpose of the operation dispatching of air compressors in the industrial site, and the forecasting accuracy meets the requirement of air compressors operation dispatching. Finally, with the forecasting consumption of compressed air, a optimal scheduling algorithm of compressor group is given.",
keywords = "energy-saving, forecast model, neural network, optimal scheduling, pneumatic system",
author = "Xiangheng Fu and Dewen Kong and Rongzhi Song and Yan Shi and Maolin Cai",
year = "2012",
doi = "10.1109/INDIN.2012.6301381",
language = "英语",
isbn = "9781467303118",
series = "IEEE International Conference on Industrial Informatics (INDIN)",
pages = "218--222",
booktitle = "INDIN 2012 - IEEE 10th International Conference on Industrial Informatics",
note = "IEEE 10th International Conference on Industrial Informatics, INDIN 2012 ; Conference date: 25-07-2012 Through 27-07-2012",
}