About Huang Huang Huang Huang Ph.D., Statistics Environmental Statistics Career 2022-, Quantitative Researcher & Developer, Abu Dhabi Investment Authority (ADIA), UAE. 2019-2021, Research Scientist, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Research statistical modeling of multivariate spatio-temporal data with large size Apply machine learning models to environmental data with comparisons to spatio-temporal statistical models Lead reading groups on spatial machine learning Collaborate with computer scientists in developing high-performance packages for large geostatistical inference Mentor students on their internship on research Events Presented Events Nov 14 - Nov 20, 2021 Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks Huang Huang, Ph.D., Statistics Nov 18, 12:00 - 13:00 KAUST Fast and accurate hourly forecasts of wind speed and power are crucial in quantifying and planning the energy budget in the electric grid.
Forecasting High-Frequency Spatio-Temporal Wind Power with Dimensionally Reduced Echo State Networks Huang Huang, Ph.D., Statistics Nov 18, 12:00 - 13:00 KAUST Fast and accurate hourly forecasts of wind speed and power are crucial in quantifying and planning the energy budget in the electric grid.
Related Sites Environmental Statistics (ES) Statistics (STAT) Spatio-Temporal Statistics and Data Science (STSDS) Related Content Articles 1 Events 1 Related Links Huang Huang on Github
