Industry 4.0 based process data analytics platform: A waste-to-energy plant case study-Reference-Cited by-同舟云学术

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Industry 4.0 based process data analytics platform: A waste-to-energy plant case study

Published:2020-02 Issue: Volume:115 Page:105508
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Kabugo James Clovis,Jämsä-Jounela Sirkka-Liisa,Schiemann Robert,Binder Christian

Funder

MONICALC

European Union

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference64 articles.

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2. Flame images for oxygen content prediction of combustion systems using DBN;Lui;Energy Fuels,2017

3. Data-driven soft sensor development based on deep learning technique;Shang;J Process Control,2014

4. Dynamic soft sensors for NOx emissions in a circulating fluidized bed boiler;Liukkonen;Appl Energy,2012

5. Fuel-quality soft sensor using the dynamic superheater model for control strategy improvement of the BioPower 5 CHP plant;Kortela;Int J Electr Power Energy Syst,2012

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