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Tavarov Saidjon Sh.

Position

Associate professor

Academic degree

PhD of Engineering Sciences

Academic title

Associate professor

Faculty

Faculty of Environmental Engineering and Municipal Services

Department

Department of Technosphere Safety

Visiting address

Office 602-C, 4, 2nd Krasnoarmeiskaya Str., St Petersburg, 190005

Correspondence address

4, 2nd Krasnoarmeiskaya Str., St Petersburg, 190005

Phone +7 (812) 316-15-81
E-mail tsb@spbgasu.ru,
tabarovsaid@mail.ru

Basic information

Education

SpecialtyPower supply for industrial enterprisesQualificationEngineer (Tajik Technical University named after Academician M.S. Osimi, 2008) SpecialtyTechnosphere safetyQualificationMaster's degree (South Ural State University, 2023)

Teaching

  • Risk management technologies
  • Technosphere safety management
  • Life safety

Professional interests

  • Analysis and optimization of electricity consumption in the residential and industrial sectors
  • Development and implementation of energy-saving technologies and energy efficiency monitoring methods

Research interests

  • Energy security and energy efficiency of housing and utility infrastructure and residential consumers
  • Forecasting and modeling methods for ensuring the security and resilience of power supply systems
  • Risk management and technosphere safety in the electric power sector

Scientific conferences

Saidjon Tavarov has participated in more than 15 conferences.

Awards

  • Certificate of Honor from the Ministry of Education and Science of the Chelyabinsk Region (2024)

Publications

Saidjon Tavarov is the author and co-author of more than 140 publications.

RSCI Publications SPIN: 9233-3962

Scopus Publications AuthorID 57194204519

ORCID Profile ID: 0000-0002-2875-2752

The most significant publications

Textbooks

  1. Sidorov, A. I. Fire Safety of Electrical Installations: Study Guide / A. I. Sidorov, G. A. Polunin, S. Sh. Tavarov. – 2nd ed., revised and supplemented. – Chelyabinsk: SUSU Publishing Center, 2023. – 125 p.
  2. Tavarov, S. Sh. Design and Reliability of Electrical Systems with Voltages up to 1000 V: Study Guide. – Moscow; Vologda: Infra-Inzheneriya, 2024. – 196 p.

Monographs

  1. Tavarov, S. Sh. Improving Methods for Enhancing the Energy Efficiency of Urban Electrical Networks in the Republic of Tajikistan / S. Sh. Tavarov, A. I. Sidorov. – Moscow: Rusains LLC. – 2022. – 120 p.

Articles

  1. Sidorov, A. I. Reliability indicators for 6–10 kV distribution network elements / A. I. Sidorov, S. Sh. Tavarov, G. Kh. Madzhidov // Issues of Electrotechnology. – 2019. – No. 3 (24). – P. 55–60.
  2. Sidorov, A. I. Standardization of electricity consumption in the Republic of Tajikistan taking into account regional climatic characteristics / A. I. Sidorov, S. Sh. Tavarov // Unified Grid Energy. – 2019. – No. 3 (45). – P. 70–75.
  3. Tavarov, S. Sh. Specific electricity consumption in the residential sector considering ambient air temperature and geographical location in the Republic of Tajikistan / S. Sh. Tavarov // Industrial Power Engineering. – 2019. – No. 7. – P. 19–22.
  4. Tavarov, S. Sh. Method for forecasting electricity consumption by household appliances in the Republic of Tajikistan / S. Sh. Tavarov, A. I. Sidorov // Issues of Electrotechnology. – 2020. – No. 4 (29). – P. 47–55.
  5. Tavarov, S. Sh. Improving the reliability of the power supply for the urban electrical network of Dushanbe / S. Sh. Tavarov, G. Kh. Majidov // Measurement. Monitoring. Management. Control. – 2020. – No. 2 (32). – P. 5–13.
  6. Tavarov, S. Sh. Method for forecasting electricity consumption by household consumers in the Republic of Tajikistan / S. Sh. Tavarov // Bulletin of South Ural State University. Series "Power Engineering". – 2020. – Vol. 20. – No. 2. – P. 28–35.
  7. Tavarov, S. Sh. Recommendations for electricity consumption standards for cities based on a developed forecasting method: the case of the Republic of Tajikistan / S. Sh. Tavarov // Energy Security and Energy Saving. – 2021. – No. 1. – P. 32–39.
  8. Tavarov, S. Sh. Modeling urban electrical network asymmetry based on electricity consumption data in the Republic of Tajikistan / S. Sh. Tavarov // Proceedings of Tula State University. Technical Sciences. – 2021. – No. 4. – P. 178–183.
  9. Tavarov, S. Sh. Modeling electricity consumption by residential consumers, accounting for the geographical location and meteorological conditions of the Republic of Tajikistan / S. Sh. Tavarov // Power Stations. – 2021. – No. 1 (1074). – P. 45–49.
  10. Tavarov, S. Sh. Modeling the operating mode of an urban electrical distribution network considering a number of variable factors / S. Sh. Tavarov // Intelligent Electrical Engineering. – 2022. – No. 3 (19). – P. 115–124.
  11. Sidorov, A. I., Modeling electrical load considering external factors / A. I. Sidorov, S. Sh. Tavarov, A. B. Svyatykh // Relay Protection and Automation. – 2022. – No. 3 (48). – P. 64–67.
  12. Tavarov, S. Sh. Modeling the operating mode of an urban electrical network / S. Sh. Tavarov, K. V. Ivshina // Energy Safety and Energy Saving. – 2022. – No. 1. – P. 10–14.
  13. Tavarov, S. Sh. Ratio of specific electricity consumption load considering the specific conditions of the Republic of Tajikistan / S. Sh. Tavarov // Bulletin of Tula State University. Technical Sciences. – 2022. – Issue 9. – P. 444–448.
  14. Tavarov, S. Sh. Modeling phase conductor heating under load asymmetry / S. Sh. Tavarov, B. I. Kosimov // Bulletin of Tula State University. Technical Sciences. – 2022. – Issue 5. – P. 372–379.
  15. Tavarov, S. Sh. Artificial neural network training algorithm for factor-based forecasting of household electricity consumption / S. Sh. Tavarov // Elektrichestvo. – 2022. – No. 3. – P. 30–38.
  16. Tavarov, S. Sh. Control of urban electrical network operating parameters given the mismatch in specific household electricity consumption load ratios, accounting for variable factors / S. Sh. Tavarov // Energy Safety and Energy Saving. – 2023. – № 1. – С. 51–58.
  17. Method for forecasting and calculating the electrical load of residential and utility consumers under conditions of uncertainty / S. Sh. Tavarov, A. I. Sidorov, I. F. Suvorov, A. B. Svyatykh // iPolytech Journal. – 2023. – Vol. 27. – No. 3. – P. 565–573.
  18. Tavarov, S. Sh. Analysis of machine learning models and methods for electricity consumption forecasting tasks / S. Sh. Tavarov, A. I. Sidorov, I. A. Tolstoukhova // Proceedings of Tula State University. Technical Sciences. – 2024. – Issue 7. – P. 153–156.
  19. Tavarov, S. Sh. Correspondence of actual electricity consumption to the specific load value and its impact on the operating parameters of the electrical distribution network / S. Sh. Tavarov, A. I. Sidorov, A. B. Svyatykh // Proceedings of Tula State University. Technical Sciences. – 2024. – Issue 7. – P. 532–535.

Patents

  1. Certificate of Computer Program Registration No. 2025688985. Program for forecasting monthly electricity consumption in multi-apartment residential buildings / S. Sh. Tavarov, N. D. Ponomarev, A. I. Sidorov. – No. 2025687412, filed Oct. 14, 2025; registered Oct. 23, 2025.
  2. Certificate of Computer Program Registration No. 2025693390. Program with an algorithm for forecasting residential building electrical load based on monthly electricity consumption data / S. Sh. Tavarov, N. D. Ponomarev, A. I. Sidorov, A. B. Svyatykh, I. A. Tolstoukhova. – No. 2025687381, filed Oct. 14, 2025; registered Nov. 27, 2025.
  3. Certificate of Computer Program Registration No. 2025695747. Software suite for forecasting and managing electricity consumption in multi-apartment residential buildings / S. Sh. Tavarov, N. D. Ponomarev, A. I. Sidorov, I. F. Suvorov. – No. 2025694431, filed Nov. 28, 2025; registered Dec. 12, 2025.
  4. Certificate of State Registration of Computer Program No. 2026617701 (Russian Federation). Vision IDE: Development and deployment environment for computer vision systems / N. D. Ponomarev, S. Sh. Tavarov. – No. 2026615351; filed Mar. 4, 2026; published Mar. 19, 2026.