Applications of Artificial Intelligence, Machine Learning, and Data Science


This track focuses on the new trends in artificial Intelligence, machine learning, and data science in improving renewable energy systems. Related topics include, but not limited to:
Deep learning, neural networks, supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning, visualization, forecasting, prediction and classification techniques, intelligent monitoring systems, recommender systems, expert systems, vision and image classification, data mining, public datasets, big data, intelligent management of grid, simulation, and optimization.

Track Chair: TBA

Track Co-Chair: TBA

Venue: TBA

Papers to be Presented: TBA

Last modified: Saturday, 8 February 2020, 5:49 PM