Participants will develop a comprehensive understanding of core optimization principles, including the identification of critical components and data inputs required for effective model formulation. The workshop will cover the logical structuring of optimization problems, evaluation of solution alternatives, and interpretation of results. Additionally, participants will explore the architecture of Woodstock, including its key modules and data requirements, and gain practical experience in executing models, validating outputs, and comparing optimized scenarios.

If you have any questions, please contact Pablo Asiron.