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Machine learning based modelling and sensitivity analysis – comprehensive analysis in the pursuit of $avings and Net Zero

Ashraf, Waqar Muhammad; (2023) Machine learning based modelling and sensitivity analysis – comprehensive analysis in the pursuit of $avings and Net Zero. Presented at: 33rd European Symposium on Computer Aided Process Engineering (ESCAPE33), Athens, Greece. Green open access

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Type: Conference item (Presentation)
Title: Machine learning based modelling and sensitivity analysis – comprehensive analysis in the pursuit of $avings and Net Zero
Event: 33rd European Symposium on Computer Aided Process Engineering (ESCAPE33)
Location: Athens, Greece
Dates: 18 - 21 June 2023
Open access status: An open access version is available from UCL Discovery
Publisher version: https://escape33-ath.gr/
Language: English
Keywords: modelling, sensitivity analysis, energy systems
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10189743
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