o:1083 Digital twin of the Pirot water system for dynamic resilience assessment en Abstract: This research aims to propose a novel framework for the assessment of the consequences of hazardous events on a water resources system using dynamic resilience. The two main types of hazardous events considered are: a severe flood event, and an earthquake. Given that one or both hazards occur, this framework utilizes a digital twin based on a system dynamics (SD) model, backed by an Artificial Neural Network (ANN) to estimate the dynamic resilience. The ANN was trained using a large, simulated dataset ranging from very mild to extreme hazard combinations. The ANN’s efficacy was quantified using the average relative error metric which equals 2.14% and 1.77% for robustness and rapidity, respectively. 1552100 978-86-85525-24-7 1552102 https://www.eventiotic.com/eventiotic/files/Papers/URL/1fc08eb8-db07-4c43-814c-19878e508b14.pdf 2022-12-14T07:43:15.369Z 44 no 46 Milan Stojković Institut za vodoprivredu "Jaroslav Černi" Dušan Marjanović Institut za vodoprivredu "Jaroslav Černi" person Luka Stojadinović Institut za vodoprivredu "Jaroslav Černi" person Nikola Milivojević Institut za vodoprivredu "Jaroslav Černi" person 0000-0001-5330-1219 application/pdf 157919 https://unilib.phaidrabg.rs/o:1083 no yes 1 70 92000004 71A04 12th International Conference on Information Society and Technology - ICIST 2022, Kopaonik, Serbia, March 13-16, 2022 261 263 Information Society of Serbia – ISOS 2022