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renewable energy wind energy

It was determined that the wind power potential and electricity demand remain at their peaks during the summer. An artificial neural network and a genetic algorithm-based hybrid prediction model was also developed for one-month ahead wind power density. The results of the prediction model demonstrated reasonably high prediction accuracy

Квалификация: Электротехника, Техника, Математика, Matlab and Mathematica, Архитектура ПО

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( 0 отзыв(-а, -ов) ) Taiping, Malaysia

ID проекта: #18674566

12 фрилансеров(-а) в среднем готовы выполнить эту работу за $162

xaainulabideen

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$277 USD за 3 дней(-я)
(64 отзывов(-а))
6.0
bchandra1955

Professional engineer with 20 years experience in wind energy system design, and development.............................

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(147 отзывов(-а))
6.5
MathsMasterA

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(34 отзывов(-а))
5.5
suyashdhoot

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(21 отзывов(-а))
5.1
rizwanmpec

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$200 USD за 3 дней(-я)
(19 отзывов(-а))
4.4
kishan99999

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3.8
MedIntellego

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(3 отзывов(-а))
2.9
dipenbista12

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0.0
djoerig

Hello sir I am interested in your project, now we are developing electrical parameter from the frrquency data scada using artificial neural network. thanks

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CyberFactor

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Parhiar43

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eslamh1977

Professional work as I have a wide experience in that field and all electrical production in renewable energy

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0.0