Accurate forecasting of icing thickness has great Estudio de la carga externa de las tareas de baloncesto en función de las fases de juego (Study of external load in basketball tasks based on game phases) significance for ensuring the security and stability of the power grid.In order to improve the forecasting accuracy, this paper proposes an icing forecasting system based on the fireworks algorithm and weighted least square support vector machine (W-LSSVM).The method of the fireworks algorithm is employed to select the proper input features with the purpose of eliminating redundant influence.
In addition, the aim of the W-LSSVM model is to train and test the historical data-set with the selected features.The capability of this proposed icing forecasting model and framework is tested through simulation experiments using real-world icing data from the monitoring center of the key laboratory of anti-ice disaster, Hunan, South China.The results show that Flexible design of Park-and-Ride facility in the city center proximity the proposed W-LSSVM-FA method has a higher prediction accuracy and it may be a promising alternative for icing thickness forecasting.