An Analysis of Wind Energy Generation by Opting the Better Placement of Wind Turbine by Artificial Neural Network and to Improve the Energy Efficiency of Wireless Sensor Network

Wireless rechargeable sensor network a breaking technology in wireless Energy transfer provides solution for energy problems in recent research. The ultimate drawback of Wireless Sensor Networks (WSN) is its battery limitations. Hence a new method is anticipated using artificial neural network (ANN) with Harmony Search (HS) process in this work. The Main motive of this work is to predict the wind energy generated by a wind turbine and it provides a solution to predict the best location to layoff or locate the wind turbine. Wind turbine considerable parameters for wind energy generation are predicted using ANN along with HS algorithm attains ideal results for the assigned input weights. Input parameters considered for evaluation are wind speed, swept area and the output parameters necessary for Wind energy generation includes air mass flow rate, power of the wind, energy efficiency, energy loss and improvement potential. ANN along with HS algorithm in the proposed work is proved ideal for attaining the optimal values of assigned weights α and β. The realized Artificial Neural Network illustrates that the Energy harvested of our anticipated method is better than prevailing method.