Energy data analytics via Deep Learning

Professor: Yu Zhang

Description: Leverage the state-of the art AI techniques to 1) forecast renewable generation, energy demand, electricity prices; 2) estimate the power system; 3) energy disaggregation; or 4) power system event detection (e.g. electrical faults, cyber attacks)

Preferred Qualifications: Python programming skills. Basic knowledge of machine learning and deep learning such as supervised and unsupervised learning, RNN/CNN