Title:	APPLIED MACHINE LEARNING: PREDICTING BEHAVIOUR OF INDUSTRIAL UNITS FROM CLIMATE DATA
Author(s):	Dieter Meiller and Christian Schieder
ISBN:	978-989-8533-80-7
Editors:	Ajith P. Abraham, Jörg Roth and Guo Chao Peng
Year:	2018
Edition:	Single
Keywords:	Machine Learning, Virtual Sensor, Climate Prediction, Industry 4.0
Type:	Full Paper
First Page:	66
Last Page:	72
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	The goal of this project was to develop a model and a working prototype for the evaluation of energy consumption of a factory in connection with climate data. The factory produces corrugated card board. This product is very susceptible to climate influences. At the end of the project, it should be clear what options there are for using data from the factory in conjunction with climate data and deriving a correlation between them. The following questions should be clarified: Which possibilities of prognosis and evaluation are there? Which data are needed? How big is the effort?
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