Keywords
discrete macromodel
deterministic model
electric power consumption
forecasting
multi-flat house макромоделювання
дискретна макромодель
детерміністична модель
електроспоживання
прогнозування
багатоквартирний будинок
How to Cite
Abstract
The application of the method of macromodelling is proposed for single-factor modeling and analysis of daily schedules of household electricity consumers, which creates the basis for their prediction at various time intervals. The advantage of the method is that it allows, with an accuracy sufficient for practical application, to create deterministic models of power consumption based on the initial information without the need for its preliminary processing. References 10, figures 5.
References
Chernenko P.O., Martyniuk O.V., Zaslavsky A.I., Miroshnyk V.O. Multifactor modeling and analysis of electrical load of the power system using the data of long-term prehistory. Tekhnichna Elektrodynamika. 2018. No 1. Pp. 87–93. (Ukr) DOI: http://dx.doi.org/10.15407/techned2018.01.087
Bunn D.W., Farmer E.D. Comparative models for electrical load forecasting. London: John Wiley & Sons. 1985. 197 p. URL: http://www.sciencedirect.com/science/article/pii/0169-2070(86)90116-0 (11.01.2018)
Gogolyuk O.P., Kozak Yu.Ya., Rosolovsky E., Stakhiv P.G. Increasing the effectiveness of algorithmic support for the construction of discrete macromodels and their adaptation to the programs of calculation of electric circuits. Tekhnichna Elektrodynamika. 2019. No 2. Pp. 3−6. (Ukr) DOI: https://doi.org/10.15407/techned2019.02.003
Salinelli E., Tomarelli F. Discrete Dynamical Models. Springer International Publishing, Switzerland, 2014. 394 p. DOI:https://doi.org/10.1007/978-88-470-5504-9
John E. Hanke, Dean W. Wichern. Business Forecasting. Prentice Hall. 2009. 551 p. URL: https://books.google.com.ua/books/about/Business_Forecasting.html?id=kY2lPwAACAAJ&redir_esc=y (12.01.2018)
Bondarchuk A.S.. In-house electrical power supply. Kyiv: Osvita Ukrainy, 2015. 480 p. (Ukr) URL: http://library.lp.edu.ua/opac/page_lib.php?docid=447735&mode=DocBibRecord (12.01.2018)
Lezhniuk P.D., Shulle Yu.A. Operational forecasting of electrical loads of power consumption systems using their fractal properties. Vinnytsia: Vinnytskyi Natsionalnyi tekhnichnyi universytet, 2015. 104 p. (Ukr) URL: http://ir.lib.vntu.edu.ua/handle/123456789/12337 (11.01.2018)
Kotsar O.V., Rasko Yu.O., Galabitsky P.M. Increasing the reliability of forecasting the load of end users in the RSDBR. Power Engineering. 2015. No 2. Pp. 43-52. (Ukr) URL: http://ela.kpi.ua/handle/ 123456789/15176 (12.01.2018)
Butenko S., Pardalos P.M., Shylo V. Optimization methods and Application. New York: Springer, 2018. 639 p. URL: https://translate.google.com.ua/translate?hl=ru&sl=en&u=https (11.01.2018)
Kotsar O.V. Application of ASCAE for controlling the modes of electricity consumption in the conditions of operation of the market of bilateral agreements and the balancing market. Kyiv: Instytut Elektrodynamiky Nationalnoi Akademii Nauk Ukrainy. 2010. Pp. 97–102. (Ukr) DOI: https://doi.org/10.20535/1813-5420.0.2014.151996
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2022 Tekhnichna Elektrodynamika