In this study we develop a flexible modeling toolbox for decentralized electricity systems with an agent-based simulation approach at its core. Two RES-E generation models for wind and PV each with a high temporal and spatial resolution are presented and approaches to model specific aspects of the demand side in detail are introduced. The implementation of an AC load flow algorithm is described and the concept of a market-based congestion management mechanism is outlined.
This account of how a once reviled theory, Baye’s rule, came to underpin modern life is both approachable and engrossing" (Sunday Times). A New York Times Book Review Editors’ Choice Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the generations-long human drama surrounding it. McGrayne traces the rule’s discovery by an 18th century amateur mathematician through its development by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—while practitioners relied on it to solve crises involving great uncertainty and scanty information, such as Alan Turing's work breaking Germany's Enigma code during World War II. McGrayne also explains how the advent of computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.
Examines how uses of fictional storytelling reflect the secularization process that coincided with the rise of the modern novel. The modern novel appeared during the period of secularization and intellectual change that took place between 1660 and 1740. This book examines John Bunyan's Grace Abounding and The Pilgrim's Progress, Johann Grimmelshausen's Simplicissimus, Daniel Defoe's Robinson Crusoe, and J. G. Schnabel's Insel Felsenburg as prose works that reflect the stages in this transition. The protagonists in these works try to learn to use language in a pure, uncorrupted way. Their attitudes towards language are founded on their understanding of the Bible, and when they tell their life stories, they follow the structure of the Bible, because they accept it as the paradigmatic story. Thus the Bible becomes a tool to justify the value of telling any story. The authors try to give their own texts some of Scripture's authority by imitating the biblical model, but this leads to problems with closure and other tensions. If Bunyan's explicitly religious works affirm the value of individual narratives as part of a single, universal story, Grimmelshausen's and Defoe's protagonists effectively replace the sacred text with their own powerful, authoritative stories. J. G. Schnabel illustrates the extent of the secularization process in Insel Felsenburg when he defends the entertainment value of escapist fiction and uses the Bible as the fictional foundation of his utopian civilization: arguments about the moral value of narrative give way to the depiction of storytelling as an end in itself. But Bunyan, Grimmelshausen, Defoe, and Schnabel all use positive examples of the transfiguring effect of reading and telling stories, whether sacred or secular, to justify the value of their own works. Janet Bertsch teaches at Wolfson and Trinity College, Cambridge.
In this study we develop a flexible modeling toolbox for decentralized electricity systems with an agent-based simulation approach at its core. Two RES-E generation models for wind and PV each with a high temporal and spatial resolution are presented and approaches to model specific aspects of the demand side in detail are introduced. The implementation of an AC load flow algorithm is described and the concept of a market-based congestion management mechanism is outlined.
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