renewable energy wind energy
$30-250 USD
Dibayar semasa penghantaran
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
ID Projek: #18674566
Tentang projek
10 pekerja bebas membida secara purata $164 untuk pekerjaan ini
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Professional engineer with 20 years experience in wind energy system design, and development.............................
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I have independently delivered a couple of projects successfully in Optimization, Heuristic Algorithm development, Trajectory Planning. I have good knowledge about genetic algorithm, TLBO etc. I have very good expe Lagi
Expert in Matlab, Simulink, Power System, Signal Processing, Image Processing Artificial Intelligence. Excellent in Electrical Engg. Algorithms development, Power system, power electronics & drives. PV generation, Wi Lagi
Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp Lagi
Being an Electronics and communication Engineer i was familiar with the topic because it was like the part of the syllabus of engineering so i would like to request you to give me the chance so that i can show my knowl Lagi
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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Professional work as I have a wide experience in that field and all electrical production in renewable energy