Search Results - "управление спросом"

Contributors: This work was supported in part by the National Key R&D Program of China (No. 2021YFE0191000) and in part by Science, Technology & Innovation Funding Authority (STDF) (No. 43180). The icons used in this paper were developed by Freepik, Amethyst Design, Arkinasi, and Smashicons from www.flaticon.com, Эта работа была частично поддержана National Key R&D Program НИОКР Китая (№ 2021YFE0191000) и частично Фондом финансирования науки, технологий и инноваций Authority (STDF) (№ 43180). Иконки, используемые в этой статье, были разработаны Freepik, Amethyst Design, Arkinasi и Smashicons на сайте Flaticon.com

Source: Alternative Energy and Ecology (ISJAEE); № 11 (2023); 181-204 ; Альтернативная энергетика и экология (ISJAEE); № 11 (2023); 181-204 ; 1608-8298

Subject Terms: управление спросом, home energy management, northern goshawk optimization, high and low-velocity ratios, demand side management, управление энергопотреблением в доме, оптимизация northern goshawk, соотношение высоких и низких скоростей

File Description: application/pdf

Relation: https://www.isjaee.com/jour/article/view/2325/1877; S.Z. Zhiznin, N.N. Shvets, V.M. Timokhov, A.L. Gusev. Economics of hydrogen energy of green transition in the world and Russia. Part I, International Journal of Hydrogen Energy, 2023, 48(57), p. 21544-21567.; S.Z. Zhiznin, S. Vassilev, A.L. Gusev. Economics of secondary renewable energy sources with hydrogen generation, International Journal of Hydrogen Energy, 2019, 44(23), 11385-11393.; Valverde-Isorna Luis, Rosa Felipe, Bordons Carlos, Guerra J. Energy management strategies in hydrogen smart-grids: a laboratory experience. Int J Hydrogen Energy 2016;41(31):13715-25.; Zhang Xiongwen, Chan Siew Hwa, Kwee Ho Hiang, Siew-ChongTan, Li Mengyu, Li Guojun, Li Jun, Feng Zhenping. Towards a smart energy network: The roles of fuel/electrolysis cells and technological perspective. Int J Hydrogen Energy 2015;40(21):6866-919.; Tabanjat Abdulkader, Mohamed Becherif, Hissel Daniel, Ramadan HS. Energy management hypothesis for hybrid power system of H2/2/PV/GMT via AI techniques. Int J Hydrogen Energy 2018;43(6):3527-41.; Arabul Fatma Keskin, Arabul Ahmet Yigit, Kumru Celal Fadil, Boynuegri Ali Rifat. Providing energy management of a fuel cellebatteryewind turbineesolar panel hybrid off grid smart home system. Int J Hydrogen Energy, 2017;42(43):26906-13.; Asanova, S., et al., Optimization of the structure of autonomous distributed hybrid power complexes and energy balance management in them. International Journal of Hydrogen Energy, 2021. 46(70): p. 34542-34549.; Asanov, M., et al., Design methodology of intelligent autonomous distributed hybrid power complexes with renewable energy sources. International Journal of Hydrogen Energy, 2023.; Hashmi, M., S. Hänninen, and K. Mäki. Survey of smart grid concepts, architectures, and technological demonstrations worldwide. in 2011 IEEE PES conference on innovative smart grid technologies Latin America (ISGT LA). 2011. IEEE.; Rahimi, F. and A. Ipakchi, Demand response as a market resource under the smart grid paradigm. IEEE Transactions on smart grid, 2010. 1(1): p. 82-88.; Ozturk, Y., et al., An intelligent home energy management system to improve demand response. IEEE Transactions on smart Grid, 2013. 4(2): p. 694-701.; Yi, P., et al., Real-time opportunistic scheduling for residential demand response. IEEE Transactions on smart grid, 2013. 4(1): p. 227-234.; Molderink, A., et al. Domestic energy management methodology for optimizing efficiency in smart grids. in 2009 IEEE Bucharest PowerTech. 2009. IEEE.; Tsui, K.M. and S.-C. Chan, Demand response optimization for smart home scheduling under real-time pricing. IEEE Transactions on Smart Grid, 2012. 3(4): p. 1812-1821.; Logenthiran, T., D. Srinivasan, and T.Z. Shun, Demand side management in smart grid using heuristic optimization. IEEE transactions on smart grid, 2012. 3(3): p. 1244-1252.; Muralitharan, K., R. Sakthivel, and Y. Shi, Multiobjective optimization technique for demand side management with load balancing approach in smart grid. Neurocomputing, 2016. 177: p. 110-119.; Motevasel, M. and A.R. Seifi, Expert energy management of a micro-grid considering wind energy uncertainty. Energy Conversion and Management, 2014. 83: p. 58-72.; Mary, G.A. and R. Rajarajeswari, Smart grid cost optimization using genetic algorithm. Int. J. Res. Eng. Technol, 2014. 3(07): p. 282-287.; Zhang, J., et al., A hybrid harmony search algorithm with differential evolution for day-ahead scheduling problem of a microgrid with consideration of power flow constraints. Applied energy, 2016. 183: p. 791-804.; Siano, P., et al., Designing and testing decision support and energy management systems for smart homes. Journal of Ambient Intelligence and Humanized Computing, 2013. 4: p. 651-661.; Miao, H., X. Huang, and G. Chen, A genetic evolutionary task scheduling method for energy efficiency in smart homes. International Review of Electrical Engineering (IREE), 2012. 7(5): p. 5897-5904.; Agnetis, A., et al., Load scheduling for house-hold energy consumption optimization. IEEE Transactions on Smart Grid, 2013. 4(4): p. 2364-2373.; Moenik, J., et al., A concept to optimize power consumption in smart homes based on demand-side management and using smart switches. Electrotechnical Review, 2013. 80(5): p. 217-221.; Ogwumike, C., M. Short, and M. Denai. Near-optimal scheduling of residential smart home appliances using heuristic approach. in 2015 IEEE International Conference on Industrial Technology (ICIT). 2015. IEEE.; Ahmad, A., et al., A modified feature selection and artificial neural network-based day-ahead load fore-casting model for a smart grid. Applied Sciences, 2015. 5(4): p. 1756-1772.; Rastegar, M., M. Fotuhi-Firuzabad, and H. Zareipour, Home energy management incorporating operational priority of appliances. International Journal of Electrical Power & Energy Systems, 2016. 74: p. 286-292.; Rasheed, M.B., et al., Priority and delay constrained demand side management in real‐time price environment with renewable energy source. International Journal of Energy Research, 2016. 40(14): p. 2002-2021.; Khan, M.A., et al., A generic demand‐side management model for smart grid. International Journal of Energy Research, 2015. 39(7): p. 954-964.; Surender Reddy, S., J.Y. Park, and C.M. Jung, Optimal operation of microgrid using hybrid differential evolution and harmony search algorithm. Frontiers in Energy, 2016. 10(3): p. 355-362.; Ma, K., et al., Residential power scheduling for demand response in smart grid. International Journal of Electrical Power & Energy Systems, 2016. 78: p. 320-325.; Rasheed, M.B., et al., Real time information based energy management using customer preferences and dynamic pricing in smart homes. Energies, 2016. 9(7): p. 542.; Geem, Z.W. and Y. Yoon, Harmony search optimization of renewable energy charging with energy storage system. International Journal of Electrical Power & Energy Systems, 2017. 86: p. 120-126.; Wu, Z., et al., Energy-efficiency-oriented scheduling in smart manufacturing. Journal of Ambient Intelligence and Humanized Computing, 2019. 10: p. 969-978.; Moon, S. and J.-W. Lee, Multi-residential demand response scheduling with multi-class appliances in smart grid. IEEE transactions on smart grid, 2016. 9(4): p. 2518-2528.; Jalili, H., et al., Modeling of demand response programs based on market elasticity concept. Journal of Ambient Intelligence and Humanized Computing, 2019. 10: p. 2265-2276.; Khan, A., et al., A priority-induced demand side management system to mitigate rebound peaks using multiple knapsack. Journal of Ambient Intelligence and Humanized Computing, 2019. 10: p. 1655-1678.; Liu, B., et al., Cost control of the transmission congestion management in electricity systems based on ant colony algorithm. Energy and Power Engineering, 2011. 3(01): p. 17.; Tang, L., Y. Zhao, and J. Liu, An improved differential evolution algorithm for practical dynamic scheduling in steelmaking-continuous casting production. IEEE Transactions on Evolutionary Computation, 2013. 18(2): p. 209-225.; Arabali, A., et al., Genetic-algorithm-based optimization approach for energy management. IEEE Transactions on Power Delivery, 2012. 28(1): p. 162-170.; Zhao, Z., et al., An optimal power scheduling method for demand response in home energy management system. IEEE transactions on smart grid, 2013. 4(3): p. 1391-1400.; Mehrjerdi Hasan, Bornapour Mosayeb, Hemmati Reza, Ghiasi Seyyed Mohammad Sadegh. Unified energy management and load control in building equipped with wind-solar-battery incorporating electric and hydrogen vehicles under both connected to the grid and islanding modes. Energy 2019;168:919-30.; Nechaev, Y.S., Gusev, A.L., Gupta, B.K., Srivastava, O.N. and Veziroglu, T.N., 2005, January. On the experimental and theoretical basis developing a “super” hydrogen adsorbent. In Transactions of International conference" Solid State Hydrogen Storage-Materials and Applications", January 31-February 1, 2005.; Nechaev, Yu S., A. L. Gusev, B. K. Gupta, O. N. Srivastava, and T. N. Veziroglu. On using graphite nanofibers for hydrogen on-board storage. In Transactions of International conference “Solid State Hydrogen Storage–Materials and Applications”. 2005.; Nechaev, Yu. S., Alexeeva, O.K., Filippov, G.A., Gusev, A.L. On the experimental and theoretical basis of developing a super hydrogen carbonaceous adsorbent for fuel-cell-powered vehicles // Alternative Energy and Ecology. 2005.; Gusev, A.L., Zolotukhin, I.V., Kalinin, Yu.E., Sitnikov, A.V. Sensors for hydrogen and hydrogen-containing molecules //Alternative Energy and Ecology. 2005. № 5.; Gusev, A.L. Thermosensor for hydrogen leakage control based on palladed manganese dioxide in superinsulation of a cryogenic hydrogen reservoir and pipelines // Physics fundamental and applied problems of Physics. – 2017. – P. 254.; Gusev, A.L., Zababurkin, D.I. Multi-channel leak detectors for monitoring the level of combustible, toxic and explosive gases // Alternative Energy and Ecology. 2010. No. 10. P. 10-15.; Zababurkin, D.I., Gusev, A.L., Nemyshev, V.I. Hydrogen leak detectors and leak indicators // International Scientific Journal Alternative Energy and Ecology. 2010. No. 6. pp. 33-42.; Rahim, S., et al., Exploiting heuristic algorithms to efficiently utilize energy management controllers with renewable energy sources. Energy and Buildings, 2016. 129: p. 452-470.; Soares, J., et al. An optimal scheduling problem in distribution networks considering V2G. in 2011 IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG). 2011. IEEE.; Khan, Z.A., et al., Hybrid meta-heuristic optimization based home energy management system in smart grid. Journal of Ambient Intelligence and Humanized Computing, 2019. 10: p. 4837-4853.; Dehghani, M., Š. Hubálovský, and P. Trojovský, Northern goshawk optimization: a new swarm-based algorithm for solving optimization problems. IEEE Access, 2021. 9: p. 162059-162080.; Hassan, M.H., et al., A modified Marine predators algorithm for solving single-and multi-objective combined economic emission dispatch problems. Computers & Industrial Engineering, 2022. 164: p. 107906.; https://www.isjaee.com/jour/article/view/2325

Availability: https://www.isjaee.com/jour/article/view/2325
https://doi.org/10.15518/isjaee.2023.11.181-204

View record from BASE

7

Conference

Прогнозирование и регулирование спроса на электроэнергию с использованием искусственного интеллекта

Authors: Баранов, Н. А., Искрицкая, К. И.

Subject Terms: ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ, ЭЛЕКТРОЭНЕРГИЯ, ПРОГНОЗИРОВАНИЕ, УПРАВЛЕНИЕ СПРОСОМ, ВОЗОБНОВЛЯЕМЫЕ ИСТОЧНИКИ, ИНТЕЛЛЕКТУАЛЬНЫЕ СЕТИ, ЭНЕРГОПОТРЕБЛЕНИЕ

File Description: application/pdf

Relation: Молодежь и наука. — Том 1. — Нижний Тагил, 2025; https://elar.urfu.ru/handle/10995/146373

Availability: https://elar.urfu.ru/handle/10995/146373

View record from BASE

8

Academic Journal

Обзор возможностей для увеличения доли ветровых и солнечных электростанций в структуре генерирующих мощностей энергосистем

Subject Terms: управление спросом, ветровая электростанция, capacity reserve, солнечная электростанция, solar power plant, electricity storage system, maneuverability, маневренность, forecasting of electricity generation, запас по пропускной способности, 7. Clean energy, flexibility, demand response, прогнозирование выработки электроэнергии, гибкость, wind power plant, система накопления электроэнергии

9

Academic Journal

Оценка эффективности переноса нагрузки предприятия на ночные часы с использованием кластерного анализа

Subject Terms: управление спросом, график электрической нагрузки, кластерный анализ, power consumption scheduling, electrical load schedule, планирование электропотребления, demand-side response (DSR), load leveling, 7. Clean energy, выравнивание графика нагрузки, cluster analysis

10

Academic Journal

Инновации в энергетический сектор АПК как ресурс развития сельских территорий

Subject Terms: энергетический сектор, развитие сельских территорий, управление спросом, «умный» учет, распределенная генерация, энергосберегающие системы, инновации в энергетике АПК, технологические инновации, системы накопления энергии

File Description: application/pdf

Access URL: https://rep.bsatu.by/handle/doc/20065

View record at OpenAIRE

11

Academic Journal

Особенности технологии управления спросом на электрическую энергию и перспективные подходы её реализации

Subject Terms: balanced development, digital technologies, управление спросом, 9. Industry and infrastructure, сбалансированное развитие, 1. No poverty, price-dependent consumption reduction, demand-response, возобновляемые источники энергии, 7. Clean energy, 12. Responsible consumption, цифровизация электроэнергетики, энергоэффективность, цифровые технологии, 8. Economic growth, ценозависимое снижение потребления, renewable energy sources, digitalization of the electric power industry, energy efficiency

12

Academic Journal

Перспективы управления спросом на энергоресурсы в регионах России

Authors: Dzyuba, A. P., Solovyeva, I. A.

Subject Terms: ПЕРСПЕКТИВНОСТЬ ВНЕДРЕНИЯ КОМПЛЕКСНОГО УПРАВЛЕНИЯ СПРОСОМ, INTEGRATED DEMAND MANAGEMENT, ENERGY EFFICIENCY, КОМПЛЕКСНОЕ УПРАВЛЕНИЕ СПРОСОМ, PROSPECTS FOR INTRODUCING INTEGRATED DEMAND MANAGEMENT, РАНЖИРОВАНИЕ РЕГИОНОВ РОССИИ, REGIONAL DEMAND VOLATILITY MAP, DEMAND MANAGEMENT, РЕГИОНАЛЬНАЯ ЭНЕРГЕТИКА, РЕГИОНАЛЬНОЕ ПОТРЕБЛЕНИЕ ЭЛЕКТРОЭНЕРГИИ, GAS DEMAND DENSITY, РЕГИОНАЛЬНОЕ ПОТРЕБЛЕНИЕ ГАЗА, УПРАВЛЕНИЕ СПРОСОМ, ЭНЕРГЕТИЧЕСКАЯ ЭФФЕКТИВНОСТЬ, КАРТА ВОЛАТИЛЬНОСТИ РЕГИОНАЛЬНОГО СПРОСА, REGIONAL GAS CONSUMPTION, ELECTRICITY DEMAND DENSITY, ПЛОТНОСТЬ СПРОСА НА ЭЛЕКТРОЭНЕРГИЮ, RANKING OF RUSSIAN REGIONS, ПЛОТНОСТЬ СПРОСА НА ГАЗ, REGIONAL ENERGY, REGIONAL ELECTRICITY CONSUMPTION

File Description: application/pdf

Access URL: http://elar.urfu.ru/handle/10995/114289

13

Academic Journal

Методический подход к управлению активными энергетическими комплексами в контексте интеграции в промышленность России

Authors: Dzyuba, A.P., Semikolenov, A.V.

Subject Terms: промышленная энергетика, electricity consumption, УДК 332.122, УДК 338.45.01, natural gas demand management, потребление электроэнергии, управление спросом на потребление природного газа, рынок электроэнергии, natural gas market, active energy complexes, управление спросом на электроэнергию, энергоэффективность, electricity demand management, рынок природного газа, electricity market, активные энергетические комплексы, industrial energy, energy efficiency

File Description: application/pdf

Access URL: http://dspace.susu.ru/xmlui/handle/00001.74/51330

View record at OpenAIRE

14

Academic Journal

Systematization of Methods to Counteract Counterfeiting of Premium Brands ; Систематизация методов противодействия контрафакции товаров премиальных брендов

Authors: I. P. Shirochenskaya, G. S. Timokhina, A. V. Shishkin, I. A. Koryagina, A. N. Beketov, И. П. Широченская, Г. С. Тимохина, А. В. Шишкин, И. A. Корягина, А. Н. Бекетов

Contributors: This article was prepared as part of a scientific research on the state task on “Development of methodology for managing competitiveness in the field of commodity circulation in the digital economy". Project no. FSSW-2020-0009., Статья выполнена в рамках Государственного задания на тему «Разработка методологии управления конкурентоспособностью в сфере товарооборота в цифровой экономике». Проект № FSSW-2020-0009.

Source: MIR (Modernization. Innovation. Research); Том 13, № 1 (2022); 94-110 ; МИР (Модернизация. Инновации. Развитие); Том 13, № 1 (2022); 94-110 ; 2411-796X ; 2079-4665 ; 10.18184/2079-4665.2022.13.1

Subject Terms: офлайн и совмещенные методы, anti-counterfeiting methods, marketing demand management, consumer segmentation, online, offline and combined methods, методы противодействия контрафакту, маркетинговое управление спросом, сегментация потребителей, онлайн

File Description: application/pdf

Relation: https://www.mir-nayka.com/jour/article/view/1218/936; Grossman G., Shapiro C. Foreign Counterfeiting of Status Goods // The Quarterly Journal of Economics. 1988. Vol. 103. Issue 1. Р. 79–100. https://doi.org/10.2307/1882643; Lai K., Zaichkowsky J.L. Brand Imitation: Do the Chinese Have Different Views? // Asia Pacific Journal of Management. 1999. Vol. 16. Issue 2. P. 179–192. https://doi.org/10.1023/A:1015482707900; Fyl R., Luk'yanova G. Economic and legal aspects against controlling goods turnover // Baltic Journal of Economic Studies. 2019. Vol. 5. Issue 5. P. 165–169. https://doi.org/10.30525/2256-0742/2019-5-5-165-169; Уханов А.И., Ушакова А.В. Совершенствование мер по предотвращению ввоза контрафактной продукции, применяемых таможенными органами ЕАЭС // Таможенное регулирование и таможенной контроль. 2020. № 9. С. 31–38. URL: https://www.elibrary.ru/item.asp?id=44502898 (дата обращения 07.02.2022); Klein M.A. Complementarity in public and private intellectual property enforcement; implications for international standards // Oxford Economic Papers-New Series. 2020. Volume 72. Issue 3. P. 748–771. https://doi.org/10.1093/oep/gpaa001; Appel G., Libai B., Mullerb E. On the monetary impact of fashion design piracy // International Journal of Research in Marketing. 2018. Vol. 35. Issue 4. P. 591–610. https://doi.org/10.1016/j.ijresmar.2018.08.003; Шугурова И.В. Направления совершенствования таможенной защиты прав на объекты интеллектуальной собственности в рамках ЕАЭС // Журнал Суда по интеллектуальным правам. 2021. № 3(33). C. 21–32. URL: https://www.elibrary.ru/item.asp?id=47140122 (дата обращения: 04.02.2022); Tom G., Garibaldi B., Zeng Y., Pilcher J. Consumer demand for counterfeit goods // Psychology & Marketing. 1998. Vol. 15. Issue 5. P. 405–421. https://doi.org/10.1002/(SICI)1520-6793(199808); Gistri G., Romani S., Pace S., Gabrielli V., Grappi S. Consumption practice of counterfeit luxury goods in the Italian context // Journal of Brand Management. 2009. Vol. 16. Issue 5. P. 364–374. https://doi.org/10.1057/bm.2008.44; Nia A., Zaichowsky J. Do counterfeits devalue the ownership of luxury brands? // Journal of Product & Brand Management. 2000. Vol. 9. Issue 7. Р. 485–497. https://doi.org/:10.1108/10610420010351402; Hieke S. Effects of Counterfeits on the Image of Luxury Brands: An Empirical Study from the Customer Perspective // Journal of Brand Management. 2010. Vol. 18. Issue 2. P. 159–173. https://doi.org/10.1057/bm.2010.28; Нamelin N., Sonny N., Rachad E.H. ”Faking brands”: Consumer responses to counterfeiting // Journal of Consumer Behaviour. 2012. Vol. 12. Issue 3. P. 159–170. https://doi.org/10.1002/cb.1406; Park-Poaps H., Kang J. An experiment on non-luxury fashion counterfeit purchase: the effects of brand reputation, fashion attributes, and attitudes toward counterfeiting // Journal of Brand Management. 2018. Vol. 25. Issue 3. P. 185–196. https://doi.org/10.1057/s41262-017-0077-x; Chen J., Teng L., Liao Y. Counterfeit Luxuries: Does Moral Reasoning Strategy Influence Consumers' Pursuit of Counterfeits? // Journal of Business Ethics. 2018. Vol. 151. Issue 3. P. 249–264. https://doi.org/10.1007/s10551-016-3255-y; Amar M., Ariely D., Carmon Z., Yang H. How Counterfeits Infect Genuine Products: The Role of Moral Disgust // Journal of Consumer Psychology. 2018. Vol. 28. Issue 2. P. 329–343. https://doi.org/10.1002/jcpy.1036; Singh D.P., Kastanakis M.N., Paul J., Reto F. Non-deceptive counterfeit purchase behavior of luxury fashion products // Journal of Consumer Behaviour. 2021. Vol. 20. Issue 5. P. 1078–1091. https://doi.org/10.1002/cb.1917; Карапетян Т.А., Очковская М.С. Мотивы и риски потребления поддельных товаров люксовых брендов // Маркетинг и маркетинговые исследования. 2020. № 1(139). C. 14–20. URL: https://www.elibrary.ru/item.asp?id=42678262 (дата обращения: 06.02.2022); Ngo L., Northey G., Tran Q., Septianto F. The Devil might wear Prada, but Narcissus wears counterfeit Gucci! How social adjustive functions inﬂuence counterfeit luxury purchases // Journal of Retailing and Consumer Services. 2020. Vol. 52. https://doi.org/10.1016/j.jretconser.2018.09.003; Shan J., Jiang, L. Cui Peng A. A double-edged sword: How the dual characteristics of face motivate and prevent counterfeit luxury consumption // Journal of Business Research. 2021. Vol. 134. P. 59–69. https://doi.org/10.1016/j.jbusres.2021.05.032; Shan J., Jiang L., Cui A.P., Wang Y., Ivzhenko Y. How and when actual‐ideal self‐discrepancy leads to counterfeit luxury purchase intention: a moderated mediation model // International Journal of Consumer Studies. 2021. http://dx.doi.org/10.1111/ijcs.12730; Donvito R., Aiello G., Grazzini L., Godey B., Pederzoli D., Wiedmann K-P., Halliburton C., Chan P., Tsuchiya J., Skorobogatykh I., Oh H., Singh R., Ewing M., Lee Y., Fei L., Chen C., Siu N. Does personality congruence explain luxury brand attachment? The results of an international research study // Journal of Business Research. 2020. Vol. 120. P. 462–472. https://doi.org/10.1016/j.jbusres.2020.06.047; Khandeparkar R., Motiani M. Fake-love: brand love for counterfeits // Marketing Intelligence & Planning. 2018 Vol. 36. Issue 6. P. 661–677. https://doi.org/10.1108/MIP-11-2017-0278; Sharma P., Chan R., Nebojsa D., Ueno A. Cultural differences in deliberate counterfeit purchase behavior // Marketing Intelligence & Planning. 2021. Vol. 40. Issue 1. P. 121–137. https://doi.org/10.1108/MIP-10-2020-0460; Xiao J., Li C., Peng L. Cross-cultural effects of self-discrepancy on the consumption of counterfeit branded luxuries // Asia Pacific Journal of Marketing and Logistics. 2018. Vol. 30, Issue 4. P. 972-987. https://doi.org/10.1108/APJML-12-2017-0341; Tunçel N. Willingness to purchase counterfeit luxury brands: A cross-cultural comparison // International Journal of Consumer studies. 2021. https://doi.org/10.1111/ijcs.12696; Jiang L., Shan J. Heterogeneity of luxury value perception: a generational comparison in China // International Marketing Review. 2018. Vol. 35. Issue 3. P. 458–474. http://dx.doi.org/10.1108/IMR-12-2015-0271; Khan S, Fazili A.I., Bashir I. Constructing generational identity through counterfeit luxury consumption // Journal of Product & Brand Management. 2021. https://doi.org/10.1108/JPBM-09-2020-3071; Chand V.Sh., Fei C. Self-brand connection and intention to purchase a counterfeit luxury brand in emerging economies // Journal of Consumer Behaviour. 2020. Vol. 20. Issue 4. P. 399–411. https://doi.org/doi.org/10.1002/cb; Rahimnia F., Arian N.H. Arian Luxury consumption and the moderating role of attitude toward counterfeits: The case of an emerging market // Journal оf General Management. 2021. Vol. 47. Issue 1. P. 41–55. https://doi.org/10.1177/03063070211013335; Khan S., Fazili A.I., Bashir I. Counterfeit luxury consumption: A review and research agenda // Journal of Consumer Behaviour. 2020. Vol. 20. Issue 2. P. 337–367. https://doi.org/10.1002/cb.1868; Kasztalska A.M. Brand Image and the Fight Against Counterfeiting By The Gucci Company // CBU International Conference Proceedings. 2018. Vol. 6. P. 221–225. https://doi.org/10.12955/cbup.v6.1160; Amaral N.B. What can be done to address luxury counterfeiting? An integrative review of tactics and strategies // Journal of Brand Management. 2020. Vol. 27. Issue 6. P. 691–709. https://doi.org/10.1057/s41262-020-00206-6; Molina-Castillo F-J., Penz E., Stöttinger B. Towards a general model explaining physical and digital counterfeits // Marketing Intelligence & Planning. 2021. https://doi.org/10.1108/MIP-12-2020-0529; Шоломова А.В., Скоробогатых И.И., Перепелкин Н.А., Коромыслов М. Влияние пандемии COVID-2019 на мировой рынок товаров и услуг класса люкс: новые вызовы для цифровизации, социальных и культурных аспектов // Маркетинг и маркетинговые исследования. 2021. № 3(145). С. 162–176. URL: https://www.elibrary.ru/item.asp?id=46538631 (дата обращения 06.02.2022)

Availability: https://www.mir-nayka.com/jour/article/view/1218
https://doi.org/10.18184/2079-4665.2022.13.1.94-110

View record from BASE

15

Academic Journal

Прогнозирование и управление электропотреблением сообщества микросетей с применением искусственного интеллекта

Authors: Stashkevich, E.V., Aizenberg, N.I., Ilyukhin, I.G.

Subject Terms: управление спросом, искусственный интеллект, microgrid, distributed generation, микросеть, прогнозирование электропотребления, распределенная генерация, demand-side management, УДК 621.311, artificial intelligence, power consumption forecasting

File Description: application/pdf

Access URL: http://dspace.susu.ru/xmlui/handle/00001.74/51466

View record at OpenAIRE

16

Academic Journal

INTERNATIONAL EXPERIENCE IN REDUCING THE WAITING TIME FOR PLANNED MEDICAL CARE: THE POSSIBILITY OF APPLYING THIS EXPERIENCE IN RUSSIA ; МЕЖДУНАРОДНЫЙ ОПЫТ СОКРАЩЕНИЯ СРОКОВ ОЖИДАНИЯ ПЛАНОВОЙ МЕДИЦИНСКОЙ ПОМОЩИ И ВОЗМОЖНОСТИ ЕГО ИСПОЛЬЗОВАНИЯ В РОССИИ

Authors: Ахметова, Анна, Шевченко, Елена, Шарамко, Тарас, Алешина, Татьяна

Source: Public Administration Issues; No 4 (2021); 137-158 ; Вопросы государственного и муниципального управления; № 4 (2021); 137-158 ; 2409-5095 ; 1999-5431

Subject Terms: health care, waiting times targets, health policy, supply and demand management, monitoring of waiting times, waiting lists, medical organizations, здравоохранение, целевые показатели сроков ожидания плановой медицинской помощи, политика здравоохранения, управление спросом и предложением медицинских услуг, мониторинг сроков ожидания, листы ожидания, медицинские организации