Delves into the feasibility of decarbonizing the electricity sector by 2050 using renewable energies, emphasizing economic competitiveness and sustainability.
Covers the detection and correction of parameter errors in power grids, focusing on statistical properties, error identification, computational efficiency, sensitivity analysis, and robust state estimation.
Explores the journey of HyLite, a cleantech start-up, from prototype development to product industrialization, emphasizing the importance of minimal viable products and low-cost prototyping.
Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.
Covers quantile regression, focusing on linear optimization for predicting outputs and discussing sensitivity to outliers, problem formulation, and practical implementation.
Explores KKT conditions in convex optimization, covering dual problems, logarithmic constraints, least squares, matrix functions, and suboptimality of covering ellipsoids.