A Fuzzy Logic Model for Hourly Electrical Power Demand Modeling
Marco Antonio Islas, José de Jesús Rubio, Samantha Muñiz, Genaro Ochoa, Jaime Pacheco, Jesús Alberto Meda-Campaña, Dante Mújica‐Vargas, Carlos Aguilar-Ibáñez, G. Gutiérrez, Alejandro Zacarías
Abstract
In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.