A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network

<div>(a) Actual wind speed values and output of the hybrid FBLMS and ANN method for first structure in Eskisehir results in the year 2013 (b) and a zoomed portion of the results (MAE = 0.5048, RMSE = 0.6681).</div>

Mathematical Problems in Engineering

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Figure 10

Figure 10: A New Hybrid Approach for Wind Speed Prediction Using Fast Block Least Mean Square Algorithm and Artificial Neural Network 