Andrew Rosemberg
Andrew received a BSc in control engineering from PUC-RIO and a BSc in general engineering from École Centrale de Marseille. He also holds a master's in Electrical Engineering with an emphasis on Operation Research, focusing on Power Systems and Energy markets. Some of his previous projects revolve around energy economic dispatch analysis and simulation, financial data classification and portfolio optimization. His main interests are optimization, decisions under uncertainty and machine learning.
Currently, Andrew is part of the Research team at Invenia Labs.
Sessions
Planning the operation of Power Systems is an important task to guarantee low operational costs and reliability. In practice, model simplifications are used given problem complexity. The objective of this work is to propose a framework, comprised of a methodology and the HydroPowerModels.jl Julia package for testing the operative and economic impact of modeling simplifications over the network power-flow in hydrothermal power systems.