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
Neural networks combination and particle swarm Algorithm for load forecast Keywords:
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