Wind Farm Management using Artificial Intelligent Techniques
نویسندگان
چکیده
منابع مشابه
Wind Farm Management using Artificial Intelligent Techniques
Boualem Benlahbib, Farid Bouchafaa, Saad Mekhilef, Noureddine Bouarroudj Laboratoire d'Instrumentation, Faculté d'Electronique et d'Informatique USTHB, Alger (Algérie) Unité de Recherche Appliquée en Energies Renouvelables, URAER, Centre de Développement des Energies Renouvelables, CDER, 47133, Ghardaïa, Algeria Power Electronics and Renewable Energy Research Laboratory (PEARL) Department of El...
متن کاملWind Speed Modeling and Prediction Using Artificial Intelligent Methods
In the recent years there is a lot of research happening to predict wind speed with several mathematical methods and biologically inspired computing techniques to reduce the prediction error. A new strategy in wind speed prediction is proposed in this paper and the Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to forecast the speed of wind. ANFIS can forecast very well of the next va...
متن کاملDetermination of Cranial Index in Sagittal Synostosis using Artificial Intelligent Techniques
Background: At least one main suture of skull is closed prematurely in craniosynostosis; which may lead to different skull and face deformities and various types of child developmental delay. Increased postero-anterior diameter of skull is the main characteristic of sagittal craniosynostosis. Cranial index is the most important parameter for diagnosis and monitoring of children with this deform...
متن کاملIntelligent Pilot Intent Analysis System Using Artificial Intelligence Techniques
This paper presents the design, prototyping and testing results for a software system that automatically analyzes Air Traffic Control (ATC) communications that have been converted to speech along with location and velocity data of other aircraft from onboard sensors to determine pilot intent and predict their trajectories. The design includes novel knowledge representation techniques for this d...
متن کاملStandard Arpu Calculation Improvement Using Artificial Intelligent Techniques
Recognizing how developing browsing behaviour could result in greater return for service providers through more efficient data usage without compromising Quality of Service (QoS), this paper proposes a new innovative model to describe the distribution and occurrence of behavioural errors in data usage models. We suggest: a) that the statistics of behavioural errors can be described in terms of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Electrical and Computer Engineering (IJECE)
سال: 2017
ISSN: 2088-8708,2088-8708
DOI: 10.11591/ijece.v7i3.pp1133-1144