Dynamic Modeling With Integrated Concept Drift Detection for Predicting Real-Time Energy Consumption of Industrial Machines
Author:
Affiliation:
1. Department of Computer Science and Engineering, University of Louisville, Louisville, KY, USA
2. Department of Information Systems Engineering, Sakarya University, Sakarya, Turkey
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09905563.pdf?arnumber=9905563
Reference43 articles.
1. Handling Concept Drifts in Regression Problems – the Error Intersection Approach
2. Sequential Pattern Mining Method for Predictive Maintenance of Large Mining Trucks
3. Machine Learning and Deep Learning Methods in Mining Operations: a Data-Driven SAG Mill Energy Consumption Prediction Application
4. Predictive Modelling for Energy Consumption in Machining Using Artificial Neural Network
5. Energy Consumption Modelling Using Deep Learning Technique — A Case Study of EAF
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