Machine Learning Techniques for Renewable Energy and Wildfire Prediction

The National Center for Atmospheric Research (NCAR) has been a leader in many areas of atmospheric science for applications of artificial intelligence (AI) to environmental science problems. The research in AI at NCAR began in the 1990’s, first from advanced applications of combined statistical methods, expert systems, and genetic algorithms to the full complexity of modern AI including machine learning and deep learning. This talk will detail three projects at NCAR’s Research Applications Laboratory utilizing machine learning for improved short-range solar power prediction, wind power conversion and wildland fire decision support systems.