Spatial Wind Speed Forecasting Using Artificial Neural Networks

Spatial interpolation is a commonly used technique to simulate wind speeds in areas which are devoid of such measuring devices. In this paper authors examine the applicability and efficiency Artificial-Neural- Network (ANN) formalism aimed at interpolating space domain. Additionally, effect correlation between speed target site its correlated neighboring also examined present paper. Hourly data set comprising recorded from April 2016 August 2018 provided by Energy Sector Management Assistance Program World Bank for study. The study supported including four different stations Pakistan, namely, Tando Ghulam Ali, Umer Kot, Sujawal Sanghar. Best estimates ANN model obtained Ali (MAPE= 7.37%) worst observed forSanghar 10.61%).