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Training Sessions 2012 (choose one)

1) One and Two-Level Energy Market Equilibrium Modeling

This course investigates strategic interaction in energy markets and covers several optimization and equilibrium concepts to solve the associated models. We aim to provide (PhD-) students with a strong theoretical understanding of Generalized Nash games and leader-follower Stackelberg games, and the related mathematical concepts of (Quasi-) Variational Inequalites (VI and QVI), Mixed Complementarity Problems (MCP), Mathematical/Equilibrium Problems under Equilibrium Constraints (MPEC/EPEC). Applications of these methodologies to energy market problems will be covered in the practical part of the course, based on examples from recent literature.

Participants should have a thorough 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: Dr. Steven A. Gabriel, Professor of Operation Research and Project Management, University of Maryland, Research Professor at DIW Berlin, and co-author of the forthcoming book “Complementarity Modeling In Energy Markets” (Springer)

2) Regulatory Benchmarking for Network Industries - Theory and Application to Electricity and Water

Given the current challenges in international infrastructure regulation, this session focuses on the advanced methods of parametric and nonparametric efficiency analysis for regulatory purposes. State-of-the-art econometric and nonparametric models for regulatory benchmarking are derived and applied to network industries like e.g. water and electricity utilities. Beside the introduction into production theory and into the general principles of efficiency analysis this course covers advanced models for data envelopment analysis (DEA), cross-section and panel data models for stochastic frontier analysis (SFA) and the combination of both concepts, the stochastic non-smooth envelopment of data (StoNED). Topics are the estimation of economies of scale and scope, horizontal and vertical integration/separation, decomposition of productivity change.

Dr. Endre Björndal
(tbc), Associate Professor at NHH Bergen, has considerable experience in the economic modeling of infrastructure industry costs and its application to infrastructure industry issues. Further research and teaching areas are: management science/decision modeling, operations management production planning and control, benchmarking/efficiency analysis, electricity markets, regulation of Electricity Networks.
Dr. Astrid Cullmann, Research Associate at DIW Berlin, is specialized in nonparametric and parametric efficiency analysis in regulated and non-regulated industries and also works on issues concerning knowledge production and research efficiency.

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