Using Different ML Algorithms and Hyperparameter Optimization to Predict Heat Meters’ Failures

Using Different ML Algorithms and Hyperparameter Optimization to Predict Heat Meters’ Failures

The need to increase the energy efficiency of buildings, as well as the use of local renewable heat sources has caused heat meters to be used not only to calculate the consumed energy, but also for the active management of central heating systems. Increasing the reading frequency and the use of meas...

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Bibliographic Details
Main Authors: Przemysław Pałasz, Radosław Przysowa
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Applied Sciences
Subjects:
heat meter
district heating
fault detection
predictive maintenance
Machine Learning (ML)
Artificial Neural Network (ANN)
Bagging Decision Tree (BDT)
Support Vector Machines (SVM)
hyperparameter optimization
ensemble model
Online Access:https://www.mdpi.com/2076-3417/9/18/3719

Internet

https://www.mdpi.com/2076-3417/9/18/3719

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