Wind Power Forecasting Using Neural Network Ensembles With Feature Selection

• Main Authors: Li, Song, Wang, Peng, Goel, Lalit
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2016
• Subjects: Wind forecasting
• Online Access: https://hdl.handle.net/10356/80608; http://hdl.handle.net/10220/40549
• Institution: Nanyang Technological University

In this paper, a novel ensemble method consisting of neural networks, wavelet transform, feature selection, and partial least-squares regression (PLSR) is proposed for the generation forecasting of a wind farm. Based on the conditional mutual information, a feature selection technique is developed t...