Analysis of factors for elaborate forecasting models of EPS regime parameters
Improving the accuracy of the forecast results and the quality of the mathematical model is one of the urgent tasks in forecasting the parameters of the regime of electric power systems. The article discusses the influence of various factors, such as population growth and temperature rise, on long-t...
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creator | Allaev, Kakhraman Tokhir, Makhmudov Denis, Losev |
description | Improving the accuracy of the forecast results and the quality of the mathematical model is one of the urgent tasks in forecasting the parameters of the regime of electric power systems. The article discusses the influence of various factors, such as population growth and temperature rise, on long-term forecasting of electricity consumption. A comparative analysis of the factors with the determination of the coefficients of the mathematical forecasting model performed. Based on a comparative analysis, it is proposed to choose the factor that has a greater impact on the nature of consumption changes according to the criterion of minimum RMS error. |
doi_str_mv | 10.1063/5.0218900 |
format | Conference Proceeding |
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Based on a comparative analysis, it is proposed to choose the factor that has a greater impact on the nature of consumption changes according to the criterion of minimum RMS error.</description><subject>Electric power systems</subject><subject>Electricity consumption</subject><subject>Forecasting</subject><subject>Mathematical analysis</subject><subject>Parameters</subject><subject>Population growth</subject><issn>0094-243X</issn><issn>1551-7616</issn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2024</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNotkE1LAzEURYMoWKsL_0HAnTD15WMyybKUWoWKgl24G9LMS5ky04xJuui_t7VdXS4cLtxDyCODCQMlXsoJcKYNwBUZsbJkRaWYuiYjACMLLsXPLblLaQvATVXpEfmY7mx3SG2iwVNvXQ4xUR8ixc6uQ7QZTw2dTbndbWgfGuz-2fnXN424aXukg422x4wx3ZMbb7uED5cck9XrfDV7K5afi_fZdFkMSkAhPUolBZdcqrWWFStReO2dhsoZLrVXwJ30DRr0TjbYNKax3DNfcYdrY8SYPJ1nhxh-95hyvQ37eDySagFKa6OZ0Efq-Uwl12ab27Crh9j2Nh5qBvXJVl3WF1viD8ENXEI</recordid><startdate>20240617</startdate><enddate>20240617</enddate><creator>Allaev, Kakhraman</creator><creator>Tokhir, Makhmudov</creator><creator>Denis, Losev</creator><general>American Institute of Physics</general><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>20240617</creationdate><title>Analysis of factors for elaborate forecasting models of EPS regime parameters</title><author>Allaev, Kakhraman ; Tokhir, Makhmudov ; Denis, Losev</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p630-4fe464324246b84715e3f8fc807c9248f602c4fde9efc4dedd9da2f1f72ceb993</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Electric power systems</topic><topic>Electricity consumption</topic><topic>Forecasting</topic><topic>Mathematical analysis</topic><topic>Parameters</topic><topic>Population growth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Allaev, Kakhraman</creatorcontrib><creatorcontrib>Tokhir, Makhmudov</creatorcontrib><creatorcontrib>Denis, Losev</creatorcontrib><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Allaev, Kakhraman</au><au>Tokhir, Makhmudov</au><au>Denis, Losev</au><au>Fozildjon, Hoshimov</au><au>Ikromjon, Rakhmonov</au><au>Kahraman, Allaev</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Analysis of factors for elaborate forecasting models of EPS regime parameters</atitle><btitle>AIP conference proceedings</btitle><date>2024-06-17</date><risdate>2024</risdate><volume>3152</volume><issue>1</issue><issn>0094-243X</issn><eissn>1551-7616</eissn><coden>APCPCS</coden><abstract>Improving the accuracy of the forecast results and the quality of the mathematical model is one of the urgent tasks in forecasting the parameters of the regime of electric power systems. The article discusses the influence of various factors, such as population growth and temperature rise, on long-term forecasting of electricity consumption. A comparative analysis of the factors with the determination of the coefficients of the mathematical forecasting model performed. Based on a comparative analysis, it is proposed to choose the factor that has a greater impact on the nature of consumption changes according to the criterion of minimum RMS error.</abstract><cop>Melville</cop><pub>American Institute of Physics</pub><doi>10.1063/5.0218900</doi><tpages>7</tpages></addata></record> |
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source | AIP Journals Complete |
subjects | Electric power systems Electricity consumption Forecasting Mathematical analysis Parameters Population growth |
title | Analysis of factors for elaborate forecasting models of EPS regime parameters |
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