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
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Hi, dear! I checked your project. I can complete your project in your time as I am a professional in mathematics. I am waiting for your message. Thanks.
For more details inbox me so that we can discuss in detail. For more details inbox me so that we can discuss in detail. For more details inbox me so that we can discuss in detail.
Hello sir I am interested in your project, now we are developing electrical parameter from the frrquency data scada using artificial neural network. thanks
Hello I am an environmental engineer and I will do your project of renewable wind energy within given time period and I hope you will be happy with my work.