Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm

EasyChair Preprint 2672

Abstract

Wind power as a renewable source of energy has numerous economic, environmental and social benefits. In order to enhance and control renewable wind power, it is vital to utilize models that predict wind speed with high accuracy. Due to the neglecting of the requirement and significance of data preprocessing and disregarding the inadequacy of using a single predicting model, many traditional models have poor performance in wind speed prediction. In the current study, for predicting wind speed at target stations in the north of Iran, the combination of a multi-layer perceptron model (MLP) with the Whale Optimization Algorithm (WOA) used to build new method (MLP-WOA) with a limited set of data (2004-2014). Then, the MLP-WOA model was utilized at each of the ten target stations, with the nine stations for training and tenth station for testing (namely: Astara, Bandar-E-Anzali, Rasht, Manjil, Jirandeh, Talesh, Kiyashahr, Lahijan, Masuleh and Deylaman) to increase the accuracy of the subsequent hybrid model. The capability of the hybrid model in wind speed forecasting at each target station was compared with the MLP model without the WOA optimizer. To determine definite results, numerous statistical performances were utilized. For all ten target stations, the MLP-WOA model had precise outcomes than the standalone MLP model. The hybrid model had acceptable performances with lower amounts of the RMSE, SI and RE parameters and higher values of NSE, WI, and KGE parameters. It was concluded that the WOA optimization algorithm can improve the prediction accuracy of the MLP model and may be recommended for accurate wind speed prediction.

Keyphrases: Whale Optimization Algorithm, hybrid model, machine learning, prediction, wind power

@booklet{EasyChair:2672,
  author    = {Saeed Samadianfard and Sajjad Hashemi and Katayoun Kargar and Mojtaba Izadyar and Ali Mostafaeipour and Amir Mosavi and Narjes Nabipour and Shahaboddin Shamshirband},
  title     = {Wind speed prediction using a hybrid model of the multi-layer perceptron and whale optimization algorithm},
  howpublished = {EasyChair Preprint 2672},
  year      = {EasyChair, 2020}}