Wolfgang Gatterbauer is a PhD student at Vienna University of Technology. He received his M.Sc. in Mechanical Engineering from Graz University of Technology, and both his M.Sc. in Electrical Engineering and Computer Science and his M.Sc. in Technology and Policy from Massachusetts Institute of Technology in 2002. He then worked at a strategic management consulting company. Currently, he is part of the Database and Artificial Intelligence Group of Prof. Georg Gottlob at the Institute for Information Systems at Vienna University of Technology and is funded by a DOC-scholarship from the Austrian Academy of Sciences. His PhD research is on automated information extraction from the WWW.
I grew up spending my time on dismantling old washing machines and constructing remote controlled air screw boats. Then I moved to Maths, Physics, Mechanical Engineering, Electrical Engineering, Economic Policy Design, and Cost Cutting. Now I am working on algorithms related to automatic knowledge discovery. Sometimes, you can catch me napping, too. Still, there is little that I enjoy more than a good conversation with thoughtful people and questions that make me think. If you have such questions, don't hesitate to stop by at my office. You can also glance over a quite interesting (at least it was for me) INTP personality type description.
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Online VENTex: Some more info and a preliminary ("beta") online test version of VENTex.
WebPageDump: WebPageDump is a Firefox extension which allows you to save local copies of pages from the Web. It sounds simple, but it's not. The standard "Save page as" function of web browsers fails with most dynamic web pages and this shortcoming was a serious problem for our research. Comes the birth of WebPageDump. We hope you find it useful too.
Online VENTrec: An online test version of VENTrec, our first version of a robust web table recognition system, together with details on the experiments. Please try it and leave us some feedback after playing with the system. Soon comes our next generation system: VENTex.
Within the context of the ongoing deregulation of the electricity industry, we disprove in the first part the commonly stated assumption that, in theory and under the condition of perfect information, decentralized and centralized unit commitment would lead to the same power quantities traded and, hence, to the same optimal social welfare. We show that, even in the absence of any uncertainties, independent optimization of the individual performance objectives by the decentralized market participants can actually lead to lower efficiency than centralized minimization of total operating cost. This result concerns short-term supply optimization for a given demand, and does not consider long-term investment issues.
In the second part, we take the position of an individual market participant in a deregulated electricity market. We investigate the task of optimally self-scheduling generators to maximize profits by using stochastic dynamic programming. With the help of actual price forecast data from the ISO New England electricity wholesale market, we demonstrate the improvements that result from modeling the forecast price errors assuming a Cauchy error distribution instead of the commonly used Normal distribution.
Finally, by taking statistic uncertainties and inter-temporal interdependencies into account, we show in the third part that a generator owner's optimum bid sequence for a centralized auction market is generally above marginal cost. In contrast to current literature, this is true even where absolutely no abuse of market power is involved. We conclude that marginal production costs cannot be used by themselves as baseline for the assessment of market power in electricity markets.
The Graz Cycle is a thermodynamical combustion cycle that allows to retain and capture CO2 emissions stemming from combustion processes. For information in English and more recent publications, please check the Graz Cycle Web page maintained by Prof. Wolfgang Sanz.
A proseminar introducing students to scientific work in the area of web information extraction:
Some collegues from DBAI (Robert Baumgartner, Michal Ceresna, Max Goebel, Tamir Hassan, Marcus Herzog, Wolfgang Holzinger, Bernhard Krüpl) and I supervise students currently enrolled at Vienna University of Technology in their practical work ("Informatikpraktikum I & II"), Bachelor or Master thesis in web information extraction and related research areas. The way it usually works is that we propose a couple of topics from which the students choose. There are plenty of interesting and relevant topics regularly popping up in our daily research and we cannot follow up on everything ourselves. So we do propose academically promising topics that we consider worthy of spending time on.
My personal criterion for taking on a student is that I have to believe that we can both learn something from each other. As I prefer a collaborative working style, I look for motivated and questioning minds with problem solving skills and the potential to be challenging thought partners. If you are interested drop me an email or talk to my current students, Paul Bohunsky and Bernhard Pollak.