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Artificial Intelligence supported Power Quality Prediction and Mitigation
This thesis introduces a fully data driven approach for the prediction and optimization of critical electrical grid states due to poor power quality. Therefore, a nonvolatile memory model for time series forecasting, designed to profit especially from big data bases and complex pattern use cases as well as an Artificial Intelligence based Smart Demand Side Management framework to enable system inherent resources / components for minimization of harmonic disturbances is applied to measured power grid scenarios.
Optimization of Unit Commitment and Economic Dispatch in Microgrids Based on Genetic Algorithm and Mixed Integer Linear Programming
Energy Management System (EMS) applications of modern power networks like microgrids have to respond to a number of stringent challenges due to current energy revolution. Optimal resource dispatch tasks must be handled with specific regard to the addition of new resource types and the adoption of novel modeling considerations. In addition, due to the comprehensive changes concerning the multi cell grid structure, new policies should be fulfilled via microgrids’ EMS. At the same time achieving a variety of conflicting goals in different microgrids requires a universal and a multi criteria optimization tool. In this work two dispatch-optimizers based on genetic algorithm and mixed integer linear programming for a centralized EMS are introduced which can schedule the unit commitment and economic dispatch of microgrid units. In the proposed methods, different network restrictions like voltages and equipment loadings and unit constraints have been considered.
Experimentalist Governance
What does non-hierarchical governance mean? Under what conditions are actors likely to engage in it? Which trajectory best captures its long-term evolution? Through which mechanisms does it overcome gridlock? To respond to these questions at the heart of regulatory governance, Experimentalist Governance develops an analytical framework that draws on contemporary debates but seeks to overcome their limitations. Notably, it offers a definition of non-hierarchical (experimentalist) governance that goes beyond institutional structures, focusing attention on actors' choices and strategies. It shows that, contrary to expectations, functional and political pressures were more influential than distr...
Clamoring Self
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Der Bürger
"Der Bürger" von Leonhard Frank. Veröffentlicht von Good Press. Good Press ist Herausgeber einer breiten Büchervielfalt mit Titeln jeden Genres. Von bekannten Klassikern, Belletristik und Sachbüchern bis hin zu in Vergessenheit geratenen bzw. noch unentdeckten Werken der grenzüberschreitenden Literatur, bringen wir Bücher heraus, die man gelesen haben muss. Jede eBook-Ausgabe von Good Press wurde sorgfältig bearbeitet und formatiert, um das Leseerlebnis für alle eReader und Geräte zu verbessern. Unser Ziel ist es, benutzerfreundliche eBooks auf den Markt zu bringen, die für jeden in hochwertigem digitalem Format zugänglich sind.
A Cp-Theory Problem Book
This third volume in Vladimir Tkachuk's series on Cp-theory problems applies all modern methods of Cp-theory to study compactness-like properties in function spaces and introduces the reader to the theory of compact spaces widely used in Functional Analysis. The text is designed to bring a dedicated reader from basic topological principles to the frontiers of modern research covering a wide variety of topics in Cp-theory and general topology at the professional level. The first volume, Topological and Function Spaces © 2011, provided an introduction from scratch to Cp-theory and general topology, preparing the reader for a professional understanding of Cp-theory in the last section of its m...
Würzburger Journal
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