Short Term Wind Speed Forecasting : A Machine Learning Based Predictive Analytics

• Main Authors: Domingo, Annael J, Garcia, Felan Carlo, Salvaña, Mary Lai, Libatique, Nathaniel Joseph C, Tangonan, Gregory L
• Format: text
• Published: Archīum Ateneo 2018
• Subjects: Renewable Energy; Wind Power Forecasting; Random Forest; Extremely Randomized Trees; Support Vector Regression; k-Nearest Neighbors; Electrical and Computer Engineering
• Online Access: https://archium.ateneo.edu/ecce-faculty-pubs/7; https://ieeexplore.ieee.org/document/8650287
• Institution: Ateneo De Manila University

The challenges posed by the intermittence and uncertainty of renewable energy due to its variability and limited storage require accurate forecasts for economies looking to source a significant amount of energy from renewables. We report on the use of several supervised learning models such as Rando...