a Record control number WOS:000259631600024

a ISSN 1307-6884

a Original cataloging agency NEU GrandLibrary

a Language code of text/sound track or separate title eng

a Classification number QA76.87

b Item number .E44 2005

a Personal name Abiyev, Rahib H.,

h Medium Electronic Document

a Title Electricity Consumption Prediction Model using Neuro-Fuzzy System

c Statement of responsibility, etc Rahib Hidayat Abiyev, Vasif H. Abiyev, Cemal Ardil.

b Name of publisher, distributor, etc World Acad Sci,

c Date of publication, distribution, etc 2005.

a Summary, etc In this paper the development of neural network based fuzzy inference system for electricity consumption prediction is considered. The electricity consumption depends on number of factors, such as number of customers, seasons, type's of customers, number of plants, etc. It is nonlinear process and can be described by chaotic time-series. The structure and algorithms of neuro-fuzzy system for predicting future values of electricity consumption is described. To determine the unknown coefficients of the system, the supervised learning algorithm is used. As a result of learning, the rules of neuro-fuzzy system are formed. The developed system is applied for predicting future values of electricity consumption of Northern Cyprus. The simulation of neuro-fuzzy system has been performed.

a Topical term or geographic name as entry element Neural network

a Topical term or geographic name as entry element Near East University Article

a Topical term or geographic name as entry element Yakın Doğu Üniversitesi Makale

a Main entry heading Proceedings of world academy of science, engineering and technology

g Relationship information 2005, Vol.8 p128-131