Building models for forecasting energy consumption using a fuzzy knowledge base and a regression model

Autor:	D T Muhamediyeva
Rok vydání:	2022
Předmět:	General Medicine General Chemistry
Zdroj:	IOP Conference Series: Earth and Environmental Science. 1070:012029
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/1070/1/012029
Popis:	The main purpose of the work is to build models for forecasting energy consumption. With the goal in mind, the problems of building energy consumption models are solved using the Sugeno fuzzy knowledge base and the regression model. The presentation of the material is carried out on the example of constructing a fuzzy model of the dependence of energy consumption on the number of population and gross domestic product (GDP). It is necessary to find out how energy consumption depends on the population, GDP, and the price of oil. The synthesized fuzzy model will have one output and three inputs.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::6b84b7b225ca7d0252f419d50b5d6b2d https://doi.org/10.1088/1755-1315/1070/1/012029 Zobrazit plný text záznamu