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Neural networks combination and particle swarm Algorithm for load forecast

Publish Year: 1397
Type: Conference paper
Language: English
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TECCONF04_012

Index date: 21 September 2019

Neural networks combination and particle swarm Algorithm for load forecast abstract

Today production management is an inseparable part of industry. Optimum usage from resources and waste of energy preventation.For more stable salary, have impelled industry to observe the market in an acceptable manner with reliable methods. Electricity industry as one of the greatest industries in the country is not only exeption of this rule but also it is in a situation that has an urgent need to load forecasting. In this article the purpose is that by observing of load data, this forecasting will be done by intelligent methods in an acceptable manner . to do this , 5 important steps will be covered upon how to opt didactic network data and positive effect of each step will be shown by simulating that has done by MATLAB software

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Neural networks combination and particle swarm Algorithm for load forecast authors

Mohammad Javad Zal

Department of electrical engineering, Ooj university, Abyek, Iran

Javad Mostafaee

Department of electrical engineering, Ooj university, Abyek, Iran