Prediction interval of wind power using parameter optimized Beta distribution based LSTM model

• Published in: Applied soft computing Vol. 82; p. 105550
• Main Authors: Yuan, Xiaohui, Chen, Chen, Jiang, Min, Yuan, Yanbin
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2019
• Subjects: Beta distribution; Long short-term memory neural network; Particle swarm optimization; Prediction interval; Wind power; Long short-term memory neural network; Beta distribution; Wind power; Particle swarm optimization; Prediction interval

Prediction interval of wind power (PIWP) is crucial to assessing the economic and safe operation of the wind turbine and providing support for analysis of the stability of power systems. The hybrid model (Beta-PSO-LSTM) of long short-term memory (LSTM) neural network and Beta distribution function b...