<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "One-month-ahead wind speed forecasting using hybrid AI model for coastal locations"^^ . "Wind speed forecasts can boost the quality of wind energy generation by increasing the efficiency and enhancing the economic viability of this variable renewable resource. This work proposes a hybrid model for wind energy capacity for electrical power generation at coastal sites by utilizing wind-related variables� characteristics. The datasets of three coastal locations of Kuwait validate the proposed method. The hybrid model is a merger of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) and predicts one-month-ahead wind speed for wind power density calculation. The neural network starts its performance evaluation with a variable number of hidden-layer neurons to finally identify the optimal ANN topology. Comparisons of statistical indices with both expected and observed test results indicate that the ANN-PSO based hybrid model with the low root-mean-square-error and mean-square-error values outperforms ANN-based trivial models. The prediction model developed in this work is highly accurate with a Mean Absolute Percentage Error (MAPE) of approximately (3-6) for all the sites. © 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved."^^ . "2020" . . "8" . . "Institute of Electrical and Electronics Engineers Inc."^^ . . . "IEEE Access"^^ . . . "21693536" . . . . . . . . . . . . . . . . . . . . . . "M."^^ . "Ali"^^ . "M. Ali"^^ . . "M."^^ . "Bou-Rabee"^^ . "M. Bou-Rabee"^^ . . "S.A."^^ . "Sulaiman"^^ . "S.A. Sulaiman"^^ . . "K.A."^^ . "Lodi"^^ . "K.A. Lodi"^^ . . "M.F."^^ . "Ansari"^^ . "M.F. Ansari"^^ . . "M."^^ . "Tariq"^^ . "M. Tariq"^^ . . . . . "HTML Summary of #13608 \n\nOne-month-ahead wind speed forecasting using hybrid AI model for coastal locations\n\n" . "text/html" . .