Inhalt des Dokuments
Training Sessions 2017 (choose one)
1) Modeling Resource Markets: Advanced Methods of Operations Research
This course investigates strategic interactions in energy resource markets and covers advanced optimization and equilibrium concepts to solve the associated models. It aims to provide participants with a strong theoretical understanding of Generalized Nash games, leader‐follower Stackelberg games, and the related mathematical concepts of (Quasi‐) Variational Inequalites (VI and QVI), Mixed Complementarity Problems, and Mathematical/Equilibrium Problems under Equilibrium Constraints (MPEC/EPEC). The practical part of the course covers applications of these methodologies to energy market problems, based on examples from the recent literature, and case studies in the oil, natural gas, and coal sector.
Participants are expected to have a basic knowledge of nonlinear optimization, mixed complementarity problems, Karush‐Kuhn‐Tucker conditions and convexity in higher dimensions as well as hands‐on experience in GAMS.
Trainer: Sauleh Siddiqui, PhD, is Assistant Professor at the Whiting School of Engineering and is on the leadership council of the Systems Institute at Johns Hopkins University, Baltimore
2) Data Analytics and Applications using “R”
The course provides a comprehensive introduction to the field of applied data analysis/data sciences. It combines conceptual methods with the ability to implement analysis using the programming language “R”. Among the issues covered are descriptive models and pattern recognition, predictive models using classification, regression, and tree‐based learning, as well as variable selection and model assessment. Guest lectures on applications in the real world, and research on one’s own scientific paper complement the course.
Trainers: Dr. Maria Nieswand is Lecturer in decision support and quantitative methods at the University of Loghborough, School of Business and Economics; Dr. Stefan Seifert, is post‐Doc in quantitative methods at the German Institute for Economic Research (DIW Berlin), and Berlin University of Technology.
3) Advanced Electricity Sector Modeling: Facing the Challenge of Low-Carbon Transformation
The electricity sector is currently undergoing restructuring, with a higher focus on lower-carbon generation, the integration of high shares of renewables, and increased integration between electricity and other sectors, e.g. mobility and heat. This course provides an overview of numerical modeling of the electricity sector undergoing the low-carbon transformation. The participants will be acquainted with a specific modeling tool: ELMOD, a GAMS-based optimization model, including comprehensive data at the national and European level.
Participants need previous GAMS-programming experience and be familiar with European electricity sector issues.
Trainer: Dr. Friedrich Kunz, is Senior Researcher at the German Institute for Economic Research (DIW Berlin), with an extensive experience in research and policy consulting on electricity markets, in particularly the modeling of generation, transmission, and demand issues. Previous position at Dresden University of Technology, and as trainer at INFRATRAIN and ENERTAIN events, and extensive lectures and presentations at international conferences.