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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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Prospects for power supply infrastructure enhancement

P. 1–9.
Gavrikova E., Gorgisheli M., Kosygina A. V., Volkova I., Yakovleva A. Y., Dolmatov I. A., Суслов К. В.

Traditional retail electricity market models transform under the condition of new technologies development and institutional changes in countries and worldwide. New models of the retail electricity market need to be adopted to recent requirements made by different stakeholders. The purpose of this study is to advance the understanding of transformation of the electricity retail market in different countries through introducing a uniform framework for comparison. The findings provide insights for experts and authorities on how the changes in the dynamic environment led to the emergence of new market models in six surveyed countries. Specific features of different models are highlighted to ensure optimal working conditions and incorporation with managerial practices in the industry as well as to help policy makers to understand what additional measures may boost the competition in retail electricity markets.

Language: English
Full text
DOI
Text on another site
Keywords: innovationelectricity marketelectric grid complexinnovation ecosystemasset managementelectric power sectorretail electricity marketelectric grid
Publication based on the results of:
Development models of energy infrastructure of remote isolated areas  of Russia (2022)

In book

IOP Conference Series: Materials Science and Engineering
Vol. 1064 : International Conference on Mechanical Engineering, Automation and Control Systems (MEACS 2020) 17thSeptember 2020,Novosibirsk, Russian Federation. , IOP Publishing, 2021.
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