TY  - CONF
AU  - Milašinović, Miloš
AU  - Marjanović, Dušan
AU  - Prodanović, Dušan
AU  - Milivojević, Nikola
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3120
AB  - Multipurpose water systems are used to deal with multiple objectives related to the usage of water for daily human activities. These activities are often conflicted which creates a challenging water management task. To provide reliable water resources management decision support tools for successful forecasting of hydraulic data (river flows and water levels) are essential. This research presents an approach for forecasting river water levels influenced by hydropower plant operations using artificial neural networks. This approach estimates hourly water level fluctuations at the control location using the water levels and hydropower plant discharge data as input. This tool can be used for fast assessment of different hydropower plant operation plans and help in choosing the optimal one. This water level forecasting procedure is applied and tested on the Iron Gate water system, placed on the Danube River, to deal with multiple objectives in water system management (hydropower production, flood protection, and inland navigation) and shows promising results.
C3  - 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023
T1  - Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks
UR  - https://hdl.handle.net/21.15107/rcub_grafar_3120
ER  - 

@conference{
author = "Milašinović, Miloš and Marjanović, Dušan and Prodanović, Dušan and Milivojević, Nikola",
year = "2023",
abstract = "Multipurpose water systems are used to deal with multiple objectives related to the usage of water for daily human activities. These activities are often conflicted which creates a challenging water management task. To provide reliable water resources management decision support tools for successful forecasting of hydraulic data (river flows and water levels) are essential. This research presents an approach for forecasting river water levels influenced by hydropower plant operations using artificial neural networks. This approach estimates hourly water level fluctuations at the control location using the water levels and hydropower plant discharge data as input. This tool can be used for fast assessment of different hydropower plant operation plans and help in choosing the optimal one. This water level forecasting procedure is applied and tested on the Iron Gate water system, placed on the Danube River, to deal with multiple objectives in water system management (hydropower production, flood protection, and inland navigation) and shows promising results.",
journal = "2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023",
title = "Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks",
url = "https://hdl.handle.net/21.15107/rcub_grafar_3120"
}

Milašinović, M., Marjanović, D., Prodanović, D.,& Milivojević, N.. (2023). Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks. in 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023.
https://hdl.handle.net/21.15107/rcub_grafar_3120

Milašinović M, Marjanović D, Prodanović D, Milivojević N. Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks. in 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023. 2023;.
https://hdl.handle.net/21.15107/rcub_grafar_3120 .

Milašinović, Miloš, Marjanović, Dušan, Prodanović, Dušan, Milivojević, Nikola, "Forecasting River Water Levels Influenced by Hydropower Plant Daily Operations using Artificial Neural Networks" in 2nd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, May 19-20, 2023 (2023),
https://hdl.handle.net/21.15107/rcub_grafar_3120 .

TY  - JOUR
AU  - Stojković, Milan
AU  - Marjanović, Dušan
AU  - Rakić, Dragan
AU  - Ivetić, Damjan
AU  - Simić, Višnja
AU  - Milivojević, Nikola
AU  - Trajković, Slaviša
PY  - 2023
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3040
AB  - The objective of this research is to propose a novel framework for assessing the consequences of hazardous events on a water resources system using dynamic resilience. Two types of hazardous events were considered: a severe flood event and an earthquake. Given that one or both hazards have occurred and considering the intensity of those events, the main characteristics of flood
 dynamic resilience were evaluated. The framework utilizes an artificial neural network (ANN) to estimate dynamic resilience. The ANN was trained using a large, generated dataset that included a wide range of situations, from relatively mild hazards to severe ones. A case study was performed on the Pirot water system (Serbia). Dynamic resilience was derived from the developed system dynamics model alongside the hazardous models implemented. The most extreme hazard combination results in the robustness of 0.04, indicating a combination of an earthquake with a significant magnitude and a flood hydrograph with a low frequency of occurrence. In the case of moderate hazards, the system robustness has a median value of 0.2 and the rapidity median value of 162 h. The ANN’s efficacy was quantified using the average relative error metric which equals 2.14% and 1.77% for robustness and rapidity, respectively.
PB  - IWA Publishing
T2  - Journal of Hydroinformatics
T1  - Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks
DO  - 10.2166/hydro.2023.069
ER  - 

@article{
author = "Stojković, Milan and Marjanović, Dušan and Rakić, Dragan and Ivetić, Damjan and Simić, Višnja and Milivojević, Nikola and Trajković, Slaviša",
year = "2023",
abstract = "The objective of this research is to propose a novel framework for assessing the consequences of hazardous events on a water resources system using dynamic resilience. Two types of hazardous events were considered: a severe flood event and an earthquake. Given that one or both hazards have occurred and considering the intensity of those events, the main characteristics of flood
 dynamic resilience were evaluated. The framework utilizes an artificial neural network (ANN) to estimate dynamic resilience. The ANN was trained using a large, generated dataset that included a wide range of situations, from relatively mild hazards to severe ones. A case study was performed on the Pirot water system (Serbia). Dynamic resilience was derived from the developed system dynamics model alongside the hazardous models implemented. The most extreme hazard combination results in the robustness of 0.04, indicating a combination of an earthquake with a significant magnitude and a flood hydrograph with a low frequency of occurrence. In the case of moderate hazards, the system robustness has a median value of 0.2 and the rapidity median value of 162 h. The ANN’s efficacy was quantified using the average relative error metric which equals 2.14% and 1.77% for robustness and rapidity, respectively.",
publisher = "IWA Publishing",
journal = "Journal of Hydroinformatics",
title = "Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks",
doi = "10.2166/hydro.2023.069"
}

Stojković, M., Marjanović, D., Rakić, D., Ivetić, D., Simić, V., Milivojević, N.,& Trajković, S.. (2023). Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks. in Journal of Hydroinformatics
IWA Publishing..
https://doi.org/10.2166/hydro.2023.069

Stojković M, Marjanović D, Rakić D, Ivetić D, Simić V, Milivojević N, Trajković S. Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks. in Journal of Hydroinformatics. 2023;.
doi:10.2166/hydro.2023.069 .

Stojković, Milan, Marjanović, Dušan, Rakić, Dragan, Ivetić, Damjan, Simić, Višnja, Milivojević, Nikola, Trajković, Slaviša, "Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks" in Journal of Hydroinformatics (2023),
https://doi.org/10.2166/hydro.2023.069 . .

TY  - CONF
AU  - Milivojević, Nikola
AU  - Milivojević, Vladimir
AU  - Tripković, Vesna
AU  - Prodanović, Dušan
AU  - Marjanović, Dušan
PY  - 2022
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2832
AB  - This paper provides insight into the Institute's long-standing engagement in the design and implementation of hydroinformatics systems in Serbia and the region. The introduction provides a definition of the hydroinformatics system and different areas of application, as well as an overview of the best practices in the world. An overview of the general platform that was created based on experience in the development of different systems has been presented here. We have described the functionalities integrated into a single software platform based on mathematical models and computational services. Various practical examples of application by the Institute are presented with the specifics of implementation in line with the purpose and characteristics of the studied systems. The conclusion highlights the role of applied hydroinformatics systems and the effects of application by users. Possible further development and implementation directions in water management and hydropower systems in Serbia and the region have been also presented.
PB  - Jaroslav Černi Water Institute
C3  - Contemporary water management: challenges and research directions
T1  - General platform for hydro-information systems – a review of concept
EP  - 267
SP  - 249
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2832
ER  - 

@conference{
author = "Milivojević, Nikola and Milivojević, Vladimir and Tripković, Vesna and Prodanović, Dušan and Marjanović, Dušan",
year = "2022",
abstract = "This paper provides insight into the Institute's long-standing engagement in the design and implementation of hydroinformatics systems in Serbia and the region. The introduction provides a definition of the hydroinformatics system and different areas of application, as well as an overview of the best practices in the world. An overview of the general platform that was created based on experience in the development of different systems has been presented here. We have described the functionalities integrated into a single software platform based on mathematical models and computational services. Various practical examples of application by the Institute are presented with the specifics of implementation in line with the purpose and characteristics of the studied systems. The conclusion highlights the role of applied hydroinformatics systems and the effects of application by users. Possible further development and implementation directions in water management and hydropower systems in Serbia and the region have been also presented.",
publisher = "Jaroslav Černi Water Institute",
journal = "Contemporary water management: challenges and research directions",
title = "General platform for hydro-information systems – a review of concept",
pages = "267-249",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2832"
}

Milivojević, N., Milivojević, V., Tripković, V., Prodanović, D.,& Marjanović, D.. (2022). General platform for hydro-information systems – a review of concept. in Contemporary water management: challenges and research directions
Jaroslav Černi Water Institute., 249-267.
https://hdl.handle.net/21.15107/rcub_grafar_2832

Milivojević N, Milivojević V, Tripković V, Prodanović D, Marjanović D. General platform for hydro-information systems – a review of concept. in Contemporary water management: challenges and research directions. 2022;:249-267.
https://hdl.handle.net/21.15107/rcub_grafar_2832 .

Milivojević, Nikola, Milivojević, Vladimir, Tripković, Vesna, Prodanović, Dušan, Marjanović, Dušan, "General platform for hydro-information systems – a review of concept" in Contemporary water management: challenges and research directions (2022):249-267,
https://hdl.handle.net/21.15107/rcub_grafar_2832 .

TY  - JOUR
AU  - Marjanović, Dušan
AU  - Vićanović, Ivana
AU  - Ljubičić, Robert
AU  - Zindović, Budo
AU  - Savić, Ljubodrag
PY  - 2019
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1867
AB  - Određivanje i praćenje promena nivoa vode u laboratorijskim uslovima primenom tradicionalnih mernih metoda opterećeno je raznim nedostacima: tačnost, frekvencija uzorkovanja, inertnost mernog uređaja i osetljivost na spoljne faktore. U cilju prevazilaženja navedenih nedostataka predlaže se alternativna metoda, zasnovana na tehnikama obrade slika iz video zapisa laboratorijskog eksperimenta. Pored opisa metodologije i njene primene na model vodostana pri brzim oscilacijama nivoa, ovaj rad prikazuje i poređenje dobijenih rezultata merenja sa dve tradicionalne metode: (1) ultražvučno merenje udaljenosti, i (2) merenje pritiska u tački. Pokazano je da je predložena metoda uporedive tačnosti, da ima niži nivo šuma i da je manje osetljiva na uticaj spoljnih faktora. Zbog svega navedenog, prikazana metoda može se koristiti kao adekvatna alternativa klasičnim mernim tehnikama u laboratorijskim uslovima.
PB  - Srpsko društo za odvodnjavanje i navodnjavanje
T2  - Vodoprivreda
T1  - Detekcija nivoa u laboratorijskim kanalima primenom tehnike obrade slika
IS  - 300-302
VL  - 51
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1867
ER  - 

@article{
author = "Marjanović, Dušan and Vićanović, Ivana and Ljubičić, Robert and Zindović, Budo and Savić, Ljubodrag",
year = "2019",
abstract = "Određivanje i praćenje promena nivoa vode u laboratorijskim uslovima primenom tradicionalnih mernih metoda opterećeno je raznim nedostacima: tačnost, frekvencija uzorkovanja, inertnost mernog uređaja i osetljivost na spoljne faktore. U cilju prevazilaženja navedenih nedostataka predlaže se alternativna metoda, zasnovana na tehnikama obrade slika iz video zapisa laboratorijskog eksperimenta. Pored opisa metodologije i njene primene na model vodostana pri brzim oscilacijama nivoa, ovaj rad prikazuje i poređenje dobijenih rezultata merenja sa dve tradicionalne metode: (1) ultražvučno merenje udaljenosti, i (2) merenje pritiska u tački. Pokazano je da je predložena metoda uporedive tačnosti, da ima niži nivo šuma i da je manje osetljiva na uticaj spoljnih faktora. Zbog svega navedenog, prikazana metoda može se koristiti kao adekvatna alternativa klasičnim mernim tehnikama u laboratorijskim uslovima.",
publisher = "Srpsko društo za odvodnjavanje i navodnjavanje",
journal = "Vodoprivreda",
title = "Detekcija nivoa u laboratorijskim kanalima primenom tehnike obrade slika",
number = "300-302",
volume = "51",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1867"
}

Marjanović, D., Vićanović, I., Ljubičić, R., Zindović, B.,& Savić, L.. (2019). Detekcija nivoa u laboratorijskim kanalima primenom tehnike obrade slika. in Vodoprivreda
Srpsko društo za odvodnjavanje i navodnjavanje., 51(300-302).
https://hdl.handle.net/21.15107/rcub_grafar_1867

Marjanović D, Vićanović I, Ljubičić R, Zindović B, Savić L. Detekcija nivoa u laboratorijskim kanalima primenom tehnike obrade slika. in Vodoprivreda. 2019;51(300-302).
https://hdl.handle.net/21.15107/rcub_grafar_1867 .

Marjanović, Dušan, Vićanović, Ivana, Ljubičić, Robert, Zindović, Budo, Savić, Ljubodrag, "Detekcija nivoa u laboratorijskim kanalima primenom tehnike obrade slika" in Vodoprivreda, 51, no. 300-302 (2019),
https://hdl.handle.net/21.15107/rcub_grafar_1867 .