Net fitting based production planning and decision support system for energy intensive industries (CROSBI ID 615164)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Pusnik, Matevz ; Sucic, Boris ; Podgornik, Ales ; Al-Mansour, Fouad ; Vuk, Tomaz
engleski
Net fitting based production planning and decision support system for energy intensive industries
In recent years significant research efforts have been related with the energy efficiency in energy intensive industries. It is promising that EU has already demonstrated how much can be done in reducing the energy intensity of manufacturing processes through energy efficiency and sustainable production processes. The overall objective of any energy efficiency related program or project in industry is reduction of costs, energy consumption, environmental impacts and raw material use. The research work presented in this paper is related to long term production planning and decision support system based on the artificial neural network net fitting model. To tackle these challenges a system for simulation and analysis of future situations relevant for production planning in energy intensive industries has been developed. It enables optimal response on excessive energy consumption and costs in relation to fuel changes and environmental impacts. The results presented in this paper confirm that the addressed system has the potential to be applied in energy intensive industries, taking into account plant specific input parameters and context variables.
Energy Management ; Decision Support ; Prediction Engine ; Production Planning
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Podaci o prilogu
1236-1242.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the IEEE International Energy Conference, EnergyCon 2014
Kuzle, Igor ; Capuder ; Tomislav ; Pandžić, Hrvoje
Institute of Electrical and Electronics Engineers (IEEE)
78-1-4799-2449-3
Podaci o skupu
IEEE International Energy Conference EnergyCon 2014 -
predavanje
13.05.2014-16.05.2014
Dubrovnik, Hrvatska