Performance Analysis of Wind Speed Prediction Using Artificial Neural Network for Several Simulation Programs
AbstractInvestment in renewable energy sources, an alternative to reducing the use of fossil resources, is rapidly increasing worldwide. Wind energy is one of the most used and popular sources of green energy. Wind speed for investment in a profitable wind power plant; area selection, system performance and planning are important. Several methods such as statistical, artificial neural network and fuzzy logic are used for predicting wind speed. In this study, wind speed estimation in MATLAB and NeuroSolutions programs was made by artificial neural network (ANN) method using 10-minute intervals wind data from Ondokuz Mayıs University location and the results were compared. The purposed wind speed prediction system uses 3 climate data which are temperature, humidity and pressure of the place as input data. The output is hourly wind speed prediction. The results of both programs are compared each other via RMSE and MSE