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dc.contributor.author |
Draidi, Abdellah |
|
dc.contributor.author |
Labed, Djamel |
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dc.date.accessioned |
2022-05-24T10:03:14Z |
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dc.date.available |
2022-05-24T10:03:14Z |
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dc.date.issued |
2016-07-11 |
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dc.identifier.uri |
http://depot.umc.edu.dz/handle/123456789/6053 |
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dc.description |
126 f. |
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dc.description.abstract |
Power grids have been developing following the development of computer systems
and control software, today we are interested in smart grids. The introduction of artificial intelligence techniques in the control and the decision is essential in research and development of modern power systems. neural networks and fuzzy logic are among the techniques most used in the field of artificial intelligence. The optimal power flow is an important element for proper optimal and economical delivery of electrical energy between the production units and the various network loads. Load
forecasting has many applications for power systems, including energy purchasing and generation, load switching, contract evaluation, and infrastructure development. |
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dc.format |
30 cm. |
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dc.language.iso |
fre |
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dc.publisher |
Université Frères Mentouri - Constantine 1 |
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dc.subject |
Electro-technique |
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dc.subject |
réseaux électriques |
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dc.subject |
écoulement de puissance |
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dc.subject |
prévision de la charge |
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dc.subject |
réseau de neurone |
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dc.subject |
logique floue |
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dc.subject |
ANFIS |
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dc.subject |
power systems |
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dc.subject |
load flow |
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dc.subject |
load forecast |
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dc.subject |
neural networks |
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dc.subject |
fuzzy logic |
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dc.subject |
أنظمة الطاقة |
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dc.subject |
تدفق الطاقة |
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dc.subject |
توقعات الاستهلاك |
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dc.subject |
الشبكات العصبية |
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dc.subject |
المنطق الضبابي |
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dc.title |
Répartition optimale des puissances utilisant les techniques de l’intelligence artificielle |
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dc.type |
Thesis |
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dc.coverage |
2 copies imprimées disponibles |
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