Open Access
Issue
BIO Web Conf.
Volume 107, 2024
19th International Conference Water and Wastewater: Transportation, Treatment, Management “Yakovlev Readings” (YRC-2024)
Article Number 01004
Number of page(s) 9
Section Aspects of Water and Wastewater Transportation
DOI https://doi.org/10.1051/bioconf/202410701004
Published online 07 May 2024
  • Geo Information System of housing and utilities sector. URL: https://dom.gosuslugi.ru/#!/individual-meters [Google Scholar]
  • The concept of “Smart apartment building”. URL: https://lab-cifra.ru/concept [Google Scholar]
  • S.Yu. Shuvalov, Smart energy saving as part of smart housing and communal services concept. J. Energosberegeniye. 2. pp. 25–29. (2019) [Google Scholar]
  • T. E. Akulinushkina, The significance of the use of “Smart Home” technology for the development of housing and communal services in the region. Young Scientist. 18 (256). Pp. 105–109. (2019). URL: https://moluch.ru/archive/256/58586/ [Google Scholar]
  • Е. Ignatova, L. Kruglova, Information systems for accounting and data analysis of housing and communal services of apartment buildings. J. Construction and Architecture. 4. (2023) DOI: 10.29039/2308-0191-2023-11-4-38-37 [Google Scholar]
  • S. Antsiferov, I. Lushkin, E. Usmanova, Problems of operating the hot water supply system during transfering the hostel to the apartment house status. in Proceedings of the IOP Conf. Series: Materials Science and Engineering. 698. 066024. (2019) [Google Scholar]
  • M.L. Croucha, H.E. Jacobs. Defining domestic water consumption based on personal water use activities. J. AQUA — Water Infrastructure. Ecosystems and Society, 70 (7), 1002. (2021) DOI: 10.2166/aqua.2021.056 [Google Scholar]
  • Z. Krippelová, J. Peráčková, Measurement of hot water consumption in apartment building. Urban Water Journal, (2021) [Google Scholar]
  • J. Nejranowski, W. Szaflik, Hot water consumption time in multi-apartment buildings. Journal of Ecological Engineering. 21(4), pp.199–202. (2020) https://doi.org/10.12911/22998993/119906 [CrossRef] [Google Scholar]
  • A. Chmielewska, Monthly model of hot water consumption. in Proceedings of the E3S Web of Conferences 100, 1005 0000 (2019) https://doi.org/10.1051/e3sconf/20191000000 [Google Scholar]
  • Kairo Pereira Teodoro da Silva, A. Kalbusch, E. Henning, Guilherme Araújo Lira Menezes, Modeling water consumption in multifamily buildings: a case study in Southern Brazil. (2021) https://doi.org/10.1080/1573062X.2021.1934040 [Google Scholar]
  • Kitaitseva,Е. Numerical analysis of hourly consumption of hot and cold water. International Journal for Computational Civil and Structural Engineering. 8 (4). pp. 78–84. (2012) [Google Scholar]
  • V.S. Ignatchik, S.V. Sarkisov, V.A. Obvintsev, Investigation of coefficients of hourly unevenness of water consumption. J. Water and ecology: problems and solutions. 2 (70). pp. 27-39/ (2017) [Google Scholar]
  • J. Kim, H. Lee, M. Lee, H. Han, D. Kim, H.S. Kim, Development of a Deep Learning-Based Prediction Model for Water Consumption at the Household Level. J. Water 14, 1512. (2022) https://doi.org/10.3390/w14091512 [Google Scholar]
  • P. Surendra, H. Deka, N. Rajakumara, Application of Mamdani model-based fuzzy inference system in water consumption estimation using time series. J. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 5. (2022) [Google Scholar]
  • L.C.P. Velasco, A.R.B. Granados, J.M.A. Ortega, K.V.D. Pagtalunan, Performance analysis of artificial neural networks training algorithms and transfer functions for medium-term water consumption forecasting. Int. J. Adv. Sci. Appl., 9, 109–116. (2018) [Google Scholar]
  • E.V. Odintsova, Analysis and forecasting of time series using computer technologies. Collection of scientific papers of Russian universities “Problems of economics, finance and production management”. 52. pp. 184–186. (2023) [Google Scholar]
  • A. Tripathi, S. Kaur, S. Sankaranarayanan, L.K. Narayanan, R.J. Tom, Water demand prediction for housing apartments using time series analysis. Int. J. Intell. Inf. Technol. 15, 57–75. (2019) [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.