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.
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Presentation-Waqar ESCAPE.pptx - Accepted Version Download (14MB) |
Type: | Conference item (Presentation) |
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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-pp.ucl.ac.uk/id/eprint/10189743 |
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