The Uncertain Generation
Download The Uncertain Generation full books in PDF, epub, and Kindle. Read online free The Uncertain Generation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
| Author | : Arnold Hokanson |
| Publisher | : AuthorHouse |
| Total Pages | : 293 |
| Release | : 2013-10-01 |
| Genre | : Fiction |
| ISBN | : 1491815167 |
The story, The Uncertain Generation, is a follow-up to the authors first novel, The Uncertainties of Life. While, both novels are a work of fiction, The Uncertainties of Life, covers the problems, the hardships, and the triumphs, of ranch life over a large part of the twentieth century. It also served to point out how the problems of the world, eventually, came to effect ranchers and ranches, even, in the most remote areas. The Uncertain Generation, brings us up to the mid nineteen-nineties. While, the ranch setting remains the same, the grandson, the third generation, has taken over the operation of the ranch, and while basic ranching practices remain somewhat the same, finds himself faced with problems completely different from those of his forbearers. The largest problem being that he is locked into a running battle with a giant corporation, where some of the top personnel show more interest in personal gain than in company profits, and are willing to use any approach to obtain their goals. Although, friendships remain strong, and ranchers continue to be dedicated to one another, and work together in a helpful manner, while at times chiding one another in a good natured manner. The change in the type of livestock and equipment, used in some cases, as well as in morals of the times is quite evident, and also how such change is accepted. The story also shows how inflation has reflected upon the attitudes of people, as our hero is willing to put everything on the line in hopes of making that big score that people of the past just dreamed about. Add a beautiful woman, who fits into todays business world, to tempt a lonely bachelor. Our heros frequent reflections upon his previous generations, while making comparisons to his own position in life, and, The Uncertain Generation, all adds up to a story of mystery, romance, violence, and even financial manipulation, accustomed to our times.
| Author | : Antonio J. Conejo |
| Publisher | : Springer |
| Total Pages | : 389 |
| Release | : 2016-06-10 |
| Genre | : Business & Economics |
| ISBN | : 3319295012 |
This book provides an in-depth analysis of investment problems pertaining to electric energy infrastructure, including both generation and transmission facilities. The analysis encompasses decision-making tools for expansion planning, reinforcement, and the selection and timing of investment options. In this regard, the book provides an up-to-date description of analytical tools to address challenging investment questions such as: How can we expand and/or reinforce our aging electricity transmission infrastructure? How can we expand the transmission network of a given region to integrate significant amounts of renewable generation? How can we expand generation facilities to achieve a low-carbon electricity production system? How can we expand the generation system while ensuring appropriate levels of flexibility to accommodate both demand-related and production-related uncertainties? How can we choose among alternative production facilities? What is the right time to invest in a given production or transmission facility? Written in a tutorial style and modular format, the book includes a wealth of illustrative examples to facilitate comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, operations research, management science, and economics. Practitioners in the electric energy sector will also benefit from the concepts and techniques presented here.
| Author | : Nina Yevtushenko |
| Publisher | : Springer |
| Total Pages | : 344 |
| Release | : 2017-09-25 |
| Genre | : Computers |
| ISBN | : 3319675494 |
This book constitutes the refereed proceedings of the 29th IFIP WG 6.1 International Conference on Testing Software and Systems ICTSS 2017, held in St. Petersburg, Russia, in October 2017. The 18 full papers and 4 short papers presented were carefully reviewed and selected from 41 submissions. The topics of the volume cover model based testing; test derivation and monitoring; fault localization and system testing including real time systems.
| Author | : Alfredo Vaccaro |
| Publisher | : John Wiley & Sons |
| Total Pages | : 148 |
| Release | : 2023-07-12 |
| Genre | : Technology & Engineering |
| ISBN | : 1119855063 |
Interval Methods for Uncertain Power System Analysis In Interval Methods for Uncertain Power System Analysis, accomplished engineer Dr. Alfredo Vaccaro delivers a comprehensive discussion of the mathematical foundations of range analysis and its application to solving traditional power system operation problems in the presence of strong and correlated uncertainties. The book explores highly relevant topics in the area, from interval methods for uncertainty representation and management to a variety of application examples. The author offers readers the latest methodological breakthroughs and roadmaps to implementing the mathematics discussed within, as well as best practices commonly employed across the industry. Interval Methods for Uncertain Power System Analysis includes examinations of linear and non-linear equations, as well as: A thorough introduction to reliable computing, including discussions of interval arithmetic and interval-based operators Comprehensive explorations of uncertain power flow analysis, including discussions of problem formulation and sources of uncertainty in power flow analysis In-depth examinations of uncertain optimal power flow analysis Fulsome discussions of uncertain small signal stability analysis, including treatments of how to compute eigenvalues of uncertain matrices Perfect for engineers working in power flow and optimal power flow analyses, optimization theory, and computer aided simulation, Interval Methods for Uncertain Power System Analysis will also earn a place in the libraries of researchers and graduate students studying decision making under uncertainty in power systems operation.
| Author | : Sebastian Breker |
| Publisher | : Infinite Study |
| Total Pages | : 10 |
| Release | : |
| Genre | : |
| ISBN | : |
The use of expert knowledge is always more or less afflicted with uncertainties for many reasons: Expert knowledge may be imprecise, imperfect, or erroneous, for instance. If we ask several experts to label data (e.g., to assign class labels to given data objects, i.e. samples), we often state that these experts make different, sometimes conflicting statements.
| Author | : Deyi Li |
| Publisher | : CRC Press |
| Total Pages | : 274 |
| Release | : 2017-05-18 |
| Genre | : Mathematics |
| ISBN | : 1315349833 |
This book develops a framework that shows how uncertainty in Artificial Intelligence (AI) expands and generalizes traditional AI. It explores the uncertainties of knowledge and intelligence. The authors focus on the importance of natural language – the carrier of knowledge and intelligence, and introduce efficient physical methods for data mining amd control. In this new edition, we have more in-depth description of the models and methods, of which the mathematical properties are proved strictly which make these theories and methods more complete. The authors also highlight their latest research results.
| Author | : U. Ahn |
| Publisher | : Elsevier |
| Total Pages | : 565 |
| Release | : 2014-06-05 |
| Genre | : Technology & Engineering |
| ISBN | : 1483298949 |
The control of power systems and power plants is a subject of growing interest which continues to sustain a high level of research, development and application in many diverse yet complementary areas, such as maintaining a high quality but economical service and coping with environmental constraints. The papers included within this volume provide the most up to date developments in this field of research.
| Author | : Marie-Jeanne Lesot |
| Publisher | : Springer Nature |
| Total Pages | : 816 |
| Release | : 2020-06-05 |
| Genre | : Computers |
| ISBN | : 3030501434 |
This three volume set (CCIS 1237-1239) constitutes the proceedings of the 18th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2020, in June 2020. The conference was scheduled to take place in Lisbon, Portugal, at University of Lisbon, but due to COVID-19 pandemic it was held virtually. The 173 papers were carefully reviewed and selected from 213 submissions. The papers are organized in topical sections: homage to Enrique Ruspini; invited talks; foundations and mathematics; decision making, preferences and votes; optimization and uncertainty; games; real world applications; knowledge processing and creation; machine learning I; machine learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied aspects of imprecise probabilities; similarities in artificial intelligence; belief function theory and its applications; aggregation: theory and practice; aggregation: pre-aggregation functions and other generalizations of monotonicity; aggregation: aggregation of different data structures; fuzzy methods in data mining and knowledge discovery; computational intelligence for logistics and transportation problems; fuzzy implication functions; soft methods in statistics and data analysis; image understanding and explainable AI; fuzzy and generalized quantifier theory; mathematical methods towards dealing with uncertainty in applied sciences; statistical image processing and analysis, with applications in neuroimaging; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical fuzzy logic and graded reasoning models; formal concept analysis, rough sets, general operators and related topics; computational intelligence methods in information modelling, representation and processing.
| Author | : Ning Zhang |
| Publisher | : CRC Press |
| Total Pages | : 317 |
| Release | : 2019-02-21 |
| Genre | : Technology & Engineering |
| ISBN | : 0429847696 |
The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
| Author | : |
| Publisher | : |
| Total Pages | : 514 |
| Release | : 2010 |
| Genre | : |
| ISBN | : |
