| A multi-objective optimization based solution for the combined economic-environmental power dispatch problem B Gjorgiev, M Čepin Engineering Applications of Artificial Intelligence 26 (1), 417-429, 2013 | 87 | 2013 |
| Electrical power generation under policy constrained water-energy nexus B Gjorgiev, G Sansavini Applied Energy 210, 568-579, 2018 | 61 | 2018 |
| Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis B Gjorgiev, G Sansavini Reliability Engineering & System Safety 217, 108085, 2022 | 58 | 2022 |
| Cooling towers performance in a changing climate: Techno-economic modeling and design optimization A Ayoub, B Gjorgiev, G Sansavini Energy 160, 1133-1143, 2018 | 58 | 2018 |
| Optimization of test interval for ageing equipment: A multi-objective genetic algorithm approach D Kančev, B Gjorgiev, M Čepin Journal of Loss Prevention in the Process Industries 24 (4), 397-404, 2011 | 47 | 2011 |
| Water-energy nexus: Impact on electrical energy conversion and mitigation by smart water resources management B Gjorgiev, G Sansavini Energy Conversion and Management 148, 1114-1126, 2017 | 41 | 2017 |
| A new model for optimal generation scheduling of power system considering generation units availability B Gjorgiev, D Kančev, M Čepin International journal of electrical power & energy systems 47, 129-139, 2013 | 38 | 2013 |
| Can models for long-term decarbonization policies guarantee security of power supply? A perspective from gas and power sector coupling A Antenucci, PC Del Granado, B Gjorgiev, G Sansavini Energy Strategy Reviews 26, 100410, 2019 | 33 | 2019 |
| Multi-agent maintenance scheduling based on the coordination between central operator and decentralized producers in an electricity market P Rokhforoz, B Gjorgiev, G Sansavini, O Fink Reliability Engineering & System Safety 210, 107495, 2021 | 27 | 2021 |
| Nexus-e: A platform of interfaced high-resolution models for energy-economic assessments of future electricity systems B Gjorgiev, JB Garrison, X Han, F Landis, R van Nieuwkoop, E Raycheva, ... Applied Energy 307, 118193, 2022 | 26 | 2022 |
| Quantitative comparison of cascading failure models for risk-based decision making in power systems AE David, B Gjorgiev, G Sansavini Reliability Engineering & System Safety 198, 106877, 2020 | 25 | 2020 |
| Geometric deep learning for online prediction of cascading failures in power grids A Varbella, B Gjorgiev, G Sansavini Reliability Engineering & System Safety 237, 109341, 2023 | 22 | 2023 |
| Cascade-risk-informed transmission expansion planning of AC electric power systems B Gjorgiev, AE David, G Sansavini Electric Power Systems Research 204, 107685, 2022 | 22 | 2022 |
| Development and application of a living probabilistic safety assessment tool: Multi-objective multi-dimensional optimization of surveillance requirements in NPPs considering … D Kančev, M Čepin, B Gjorgiev Reliability Engineering & System Safety 131, 135-147, 2014 | 21 | 2014 |
| Multi-objective unit commitment with introduction of a methodology for probabilistic assessment of generating capacities availability B Gjorgiev, D Kančev, M Čepin, A Volkanovski Engineering Applications of Artificial Intelligence 37, 236-249, 2015 | 20 | 2015 |
| Improving nuclear power plant safety through independent water storage systems B Gjorgiev, A Volkanovski, G Sansavini Nuclear Engineering and Design 323, 8-15, 2017 | 14 | 2017 |
| Simulation-driven deep learning for locating faulty insulators in a power line B Gjorgiev, L Das, S Merkel, M Rohrer, E Auger, G Sansavini Reliability Engineering & System Safety 231, 108989, 2023 | 13 | 2023 |
| Alternative off-site power supply improves nuclear power plant safety B Gjorgiev, A Volkanovski, D Kančev, M Čepin Annals of Nuclear Energy 71, 304-312, 2014 | 13 | 2014 |
| Time-dependent unavailability of equipment in an ageing NPP: sensitivity study of a developed model D Kančev, B Gjorgiev, A Volkanovski, M Čepin Reliability Engineering & System Safety 148, 11-20, 2016 | 12 | 2016 |
| Risk-informed decision making in the nuclear industry: Application and effectiveness comparison of different genetic algorithm techniques B Gjorgiev, D Kančev, M Čepin Nuclear engineering and design 250, 701-712, 2012 | 12 | 2012 |
Giovanni SansaviniReliability and Risk Engineering Lab, Institute of Energy and Process Engineering, ETH ZurichVerified email at ethz.ch
