A Gas Concentration Prediction Method Driven by a Spark Streaming Framework

A Gas Concentration Prediction Method Driven by a Spark Streaming Framework

In the traditional coal-mine gas-concentration prediction process, problems such as low timeliness of data and low efficiency of the prediction model in learning data features result in low accuracy of the final prediction. To solve these problems, a gas-concentration prediction method driven by the...

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Bibliographic Details
Main Authors: Yuxin Huang, Jingdao Fan, Zhenguo Yan, Shugang Li, Yanping Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Energies
Subjects:
spark streaming
ARIMA
SVM
SPARS model
real-time
Online Access:https://www.mdpi.com/1996-1073/15/15/5335

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https://www.mdpi.com/1996-1073/15/15/5335

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