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All issues Volume 274 (2021) E3S Web Conf., 274 (2021) 10004 References
Open Access
Issue
E3S Web Conf.
Volume 274, 2021
2nd International Scientific Conference on Socio-Technical Construction and Civil Engineering (STCCE – 2021)
Article Number 10004
Number of page(s) 12
Section Sustainable Development
DOI https://doi.org/10.1051/e3sconf/202127410004
Published online 18 June 2021
  1. Y. Wang, X. Gao, Y. Cai, M. Yang, S. Li, Y. Li, Reliability evaluation for aviation electric power system in consideration of uncertainty, Energies, 13(5), (2020) DOI: 10.3390/en13051175. [Google Scholar]
  2. V. Mankov, S. Efremov, V. Monashkov, Grounding device for electrical networks and electrical installations in the arctic regions, 4th International Scientific Conference on Arctic: History and Modernity. Institute of Physics Publishing, Bristol (2019) DOI: 10.1088/1755-1315/302/1/012066 [Google Scholar]
  3. J. Zhang, D. Wang, F. Su, X. Han, X. Jin and et al., Design and application research of an power grid safety supervision and management business integrated platform based on Sotower3.0, Procedia Computer Science, 131, 676–682 (2018) DOI: 10.1016/j.procs.2018.04.311 [CrossRef] [Google Scholar]
  4. O. John, C. Lehmköster, C. Rehtanz, Financially optimal decisions of electricity network operators under regulatory uncertainty, CIGRE 2011 Bologna Symposium - The Electric Power System of the Future: Integrating Supergrids and Microgrids, Bologna (2011) [Google Scholar]
  5. V. Evangelopoulos, I. Avramidis, P. Georgilakis, Flexibility services management under uncertainties for power distribution systems: Stochastic scheduling and predictive real time dispatch, IEEE, 8, 38855–38871 (2020) DOI: 10.1109/ACCESS.2020.2975663 [Google Scholar]
  6. N. Kaneko, Y. Fujimoto, S. Kabe, M. Hayashida, Y. Hayashi, Sparse modeling approach for identifying the dominant factors affecting situation-dependent hourly electricity demand, Applied Energy, 265 (2020) DOI: 10.1016/j.apenergy.2020.114752 [CrossRef] [Google Scholar]
  7. I. Skvortsova, R. Latyshev, Y. Truntsevsky, Management of investment activities in the field of energy saving, 2018 International Science Conference on Business Technologies for Sustainable Urban Development, EDP Sciences, Les Ulis (2019) DOI: 10.1051/e3sconf/201911002063 [Google Scholar]
  8. I. Kalogeropoulos, H. Sarimveis, Predictive control algorithms for congestion management in electric power distribution grids, Applied Mathematical Modelling 77, 635–651 (2020) DOI: 10.1016/j.apm.2019.07.034 [CrossRef] [Google Scholar]
  9. V. Manusov, S. Kokin, J. Ahyoev, Multi-criteria analysis of fuzzy symptoms of electrical faults in power systems, International Journal of Energy Production and Management, 3(2), 89–96 (2018) DOI: 10.2495/EQ-V3-N2-89-96 [CrossRef] [Google Scholar]
  10. N. Rumyantseva, E. Primak, A. Uljanov, V. Kiss. Assessment of an occupational risk using injury safety indicators, International Scientific-Practical Conference on Quality Management and Reliability of Technical Systems. Institute of Physics Publishing, Bristol (2019) DOI: 10.1088/1757-899X/666/1/012090 [Google Scholar]
  11. A. Semeykin, E. Klimova, I. Kochetkova, Forecasting and managing professional risks using information-analytical systems based on fuzzy logic methods, 2019 International Science and Technology Conference on Earth Science, ISTCEarthScience 2019, Institute of Physics Publishing, Bristol (2020) DOI: 10.1088/1755-1315/459/5/052083 [Google Scholar]
  12. O. Filatova, Y. Bashkatova, D. Filatova, L. Ilyashenko, Human organism in the conditions of homeostatic dynamics of meteoroligical parameters of the russian north, Ekologiya Cheloveka (Human Ecology) 9, 24–30 (2019) DOI: 10.33396/1728-0869-2019-9-24-30 [Google Scholar]
  13. F. Bryukhan, I. Lavrusevich, A. Vinogradov, I. Vinogradov, Consideration of external natural impacts in the design of hazardous production facilities, 6th International Scientific Conference on Integration, Partnership and Innovation in Construction Science and Education, IPICSE 2018. EDP Sciences, Les Ulis (2018) DOI: 10.1051/matecconf/201825106001 [Google Scholar]
  14. J. Bartok, O. Habala, P. Bednar, M. Gazak, L. Hluchÿ, Data mining and integration for predicting significant meteorological phenomena, International Conference on Computational Science, ICCS 2010. Elsevier B.V., Amsterdam (2010) [Google Scholar]
  15. M. Matouqa, T. El-Hasan, H. Al-Bilbisi, M. Abdelhadi, M. Hindiyeh, S. Eslamian, S. Duheisat, The climate change implication on Jordan: A case study using GIS and Artificial Neural Networks for weather forecasting, Journal of Taibah University for Science, 7, 44–55 (2013) DOI: 10.1016/j.jtusci.2013.04.001 [CrossRef] [Google Scholar]
  16. S. Wang, Y. Zhong, E. Wang, An integrated GIS platform architecture for spatiotemporal big data, Future Generation Computer Systems, 94, 160–172 (2019) DOI: 10.1016/j.future.2018.10.034 [CrossRef] [Google Scholar]
  17. F. D'Amico, A. Calvi, E. Schiattarella, M. Prete, V. Veraldi, BIM and GIS data integration: a novel approach of technical/environmental decision-making process in transport infrastructure design, 2019 Transport Infrastructure and Systems in a Changing World. Towards a more Sustainable, Reliable and Smarter Mobility, TIS Roma 2019. Elsevier B.V., Amsterdam (2020) DOI: 10.1016/j.trpro.2020.02.090 [Google Scholar]
  18. R. Satria, M. Castro, GIS tools for analyzing accidents and road design: a review, XII Conference on Transport Engineering, CIT 2016, Elsevier B.V., Amsterdam (2016), DOI: 10.1016/j.trpro.2016.12.033 [Google Scholar]
  19. Z. Ma, Y. Ren, Integrated application of BIM and GIS: an overview, Creative Construction Conference, CcC 2017, Elsevier Ltd, Amsterdam (2017), DOI: 10.1016/j.proeng.2017.08.064 [Google Scholar]
  20. V. Burlov, A. Andreev, F. Gomazov, Mathematical model of human decision - A methodological basis for the realization of the human factor in safety management, 9th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2018. Elsevier B.V., Amsterdam (2018) DOI: 10.1016/j.procs.2018.11.018 [Google Scholar]
  21. M. Borisova, A. Byzov, S. Efremov, Assessment of the maximum possible number of victims of accidents at hazardous production facilities for insurance purposes, International Scientific-Practical Conference on Quality Management and Reliability of Technical Systems 2019. Institute of Physics Publishing, Bristol (2019) DOI: 10.1088/1757-899X/666/1/012096 [Google Scholar]
  22. G. Correa-Henao, J. Yusta, R. Lacal-Arantegui, Using interconnected risk maps to assess the threats faced by electricity infrastructures, International Journal of Critical Infrastructure Protection, 6, 197–216 (2013) DOI: 10.1016/j.ijcip.2013.10.002 [CrossRef] [Google Scholar]
  23. M. Polyukhovich, V. Burlov, V. Mankov, A. Bekbayev, Electric power supply management of the construction site in the interests offacilitating electrical safety, 2019 International Scientific Conference on Energy, Environmental and Construction Engineering, EECE 2019, EDP Sciences, Les Ulis (2019) DOI: 10.1051/e3sconf/201914008006 [Google Scholar]

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