Intelligent Decisions Modeling for Energy Saving in Lifts:An Application for Kleemann Hellas Elevators

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org

"Intelligent Decisions Modeling for Energy Saving in Lifts:An Application for Kleemann Hellas Elevators"
written by Vasilios Zarikas, Nick Papanikolaou, Michalis Loupis, Nick Spyropoulos,
published by Energy and Power Engineering, Vol.5 No.3, 2013

has been cited by the following article(s):

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[1]	Statistical and AI modeling of UK and France elevator accidents and their violating safety rules Journal of Applied Engineering Science, 2023 DOI:10.5937/jaes0-41112

[2]	Comprehensive Energy Consumption of Elevator Systems Based on Hybrid Approach of Measurement and Calculation in Low- and High-Rise Buildings of Tropical Climate towards Energy Efficiency Sustainability, 2022 DOI:10.3390/su14084779

[3]	On the investigation of energy saving aspects of commercial lifts Energy Efficiency, 2017 DOI:10.1007/s12053-016-9495-y

[4]	Energy consumption estimation on lift systems: The advantages of VVVF drives 2014 International Conference on Electrical Machines (ICEM), 2014 DOI:10.1109/ICELMACH.2014.6960265

[5]	Energy saving during modern lift operation 2014 International Conference on Electrical Machines (ICEM), 2014 DOI:10.1109/ICELMACH.2014.6960266