Students of Moscow Polytech will learn about optimization of electric power consumption
A lecture will be delivered at the Entrepreneurial Boiling Point of Moscow Polytech on a project of a software product development aiming to simulate and predict electric power consumption for every hour of the day using machine learning methods.
December 8, from 18:00 until 20:00, Bolshaya Semyonovskaya, 38, А-100.
Attendees of the lecture will be informed how the Project Team was formed – it included faculty staff and students of the North Caucasian Mining and Metallurgical Institute NCMMI (STU) (Vladikavkaz) and involved employees of LLC “Frisson” (St. Petersburg). In addition, life hacks will be shared with the participants on bringing a specific product to market.
Speaker – guest from the Republic of North Ossetia – Alania Dzgoyev:
2007 – graduated from NCMMI (STU) with a degree in “Applied Informatics in Economics”.
2011 – defended his PhD thesis on the topic "Development of short-term and operational forecasting methods of electric power consumption in the region’s electric power supply management”.
2012 – 2014: received a scholarship from the President of the Russian Federation.
2017 – received a scholarship of the Government of India under the Indian Economic and Technical Cooperation Program. Interned at the Center for Development of Advanced Computing (C-DAC Mohali), Chandigarh, Panjab state, India.
2019-2020 – received a grant JREX Fellowship from the Japan – Russia Center for Youth Exchange (Tokyo) to carry out research at Kyushu (KYUSHU UNIVERSITY), Fukuoka, Japan.
2022 – participant of the “The Archipelago 2022” accelerator with the project “Optimization of electricity consumption in a manufacturing enterprise”.
2022 - semi-finalist of HSE FEST 2022 University Technology Projects Festival (TOP 50 projects)
2022 – participant of the accelerator Ural Interregional Research and Education Center - Evraz NTMK (Nizhny Tagil Iron and Steel Works). Reaching the Final.
2022 – participant of the acceleration program for the LLC “EVRAZ” Ural Division with the purpose of selecting and praparing innovative projects for feasible application at the range of LLC “EVRAZ” Ural Division enterprises.
Project Manager of the "Software product for forecasting electricity consumption for every hour of the day". The software product was developed jointly with LLC “Frisson”, St. Petersburg. Project status: Piloting at PJSC “ROSSETI North Caucasus”.
Scientific interests: simulation, forecasting, system analysis, machine education, artificial intelligence.
