UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

In the pursuit of $avings and Net Zero: Machine learning for operational excellence of industrial complexes

Ashraf, Waqar Muhammad; (2023) In the pursuit of $avings and Net Zero: Machine learning for operational excellence of industrial complexes. Presented at: ChemEngDay UK 2023, Belfast, UK. Green open access

[thumbnail of Presentation for ChemEngDayUK 2023.pptx] Slideshow
Presentation for ChemEngDayUK 2023.pptx - Accepted Version

Download (7MB)
Type: Conference item (UNSPECIFIED)
Title: In the pursuit of $avings and Net Zero: Machine learning for operational excellence of industrial complexes
Event: ChemEngDay UK 2023
Location: Belfast, UK
Dates: 30 - 31 March 2023
Open access status: An open access version is available from UCL Discovery
Publisher version: https://pure.qub.ac.uk/en/activities/chemengdayuk2...
Language: English
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/10189747
Downloads since deposit
1Download
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item