The Uncertain Generation

The Uncertain Generation PDF Author: Arnold Hokanson
Publisher: AuthorHouse
ISBN: 1491815167
Category : Fiction
Languages : en
Pages : 293

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Book Description
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.

The Uncertain Generation

The Uncertain Generation PDF Author: Arnold Hokanson
Publisher: AuthorHouse
ISBN: 1491815167
Category : Fiction
Languages : en
Pages : 293

Get Book Here

Book Description
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.

Investment in Electricity Generation and Transmission

Investment in Electricity Generation and Transmission PDF Author: Antonio J. Conejo
Publisher: Springer
ISBN: 3319295012
Category : Business & Economics
Languages : en
Pages : 389

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Book Description
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.

Testing Software and Systems

Testing Software and Systems PDF Author: Nina Yevtushenko
Publisher: Springer
ISBN: 3319675494
Category : Computers
Languages : en
Pages : 344

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Book Description
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.

The Uncertain Path

The Uncertain Path PDF Author: Jude Watson
Publisher: Turtleback Books
ISBN: 9780613225519
Category : Science fiction
Languages : en
Pages : 0

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Book Description
Because he chose to take part in the revolution on Melida/Daan, Obi-Wan Kenobi is no longer a Jedi. But as the revolution continues and he can no longer tell his friends from his enemies, he grows to regret his choice.

Interval Methods for Uncertain Power System Analysis

Interval Methods for Uncertain Power System Analysis PDF Author: Alfredo Vaccaro
Publisher: John Wiley & Sons
ISBN: 1119855063
Category : Technology & Engineering
Languages : en
Pages : 148

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Book Description
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.

Energy Systems Optimization Considering the Uncertainty of Future Developments

Energy Systems Optimization Considering the Uncertainty of Future Developments PDF Author: Wolf Gereon Wedel
Publisher: BoD – Books on Demand
ISBN: 3759718280
Category : Technology & Engineering
Languages : en
Pages : 282

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Book Description
In light of anthropogenic climate change and the importance of energy to ensure high living standards, energy system optimization is used to explore different energy system layouts. A recent focus has been on determining cost-effective ways to mitigate greenhouse gas emissions. This work investigates how future uncertainties regarding technology costs influence optimization results. This is achieved through energy system optimization aimed at reducing system cost using stochastic optimization with probability distributions to capture expected future costs and uncertainties. Theoretical considerations and a minimal example energy system show that Jensen's inequality leads to an overestimation of necessary system costs when scenario optimization considers only the expected technology cost means. Stochastic optimization is applied to a model of the German energy system, including the electricity, heating, and transport sectors. Results from stochastic optimization are compared to scenario results based on mean cost distributions. The use of a factor effect-based meta-model and fewer optimizations in stochastic analysis are investigated to reduce computational effort. The results confirm the overestimation of necessary costs by scenario optimization, showing a 3.5% overestimation with an 80% emission reduction target and 0.4% for a completely renewable system. Stochastic optimization also provides the interquartile range to characterize uncertainty, with a 13.2 Euro MWh-1 interquartile range (27.3% of the mean) for a completely renewable system. Using 30 to 60 optimizations in the stochastic case yields results similar to 500 optimizations, the benchmark. The proposed meta-models offer limited advantages except for predicting extreme results, which are not evident with fewer optimizations. In some cases, especially for non-renewable systems, the expected values from stochastic optimization differ significantly from scenario optimization results. For instance, at a 20% emission limit of 1990 levels, scenario optimization yields 18% of the CO2 emissions compared to the mean of stochastic optimization. Similar differences are seen in other parameters, though most are well-represented by scenario results. Clustering helps manage the diverse results from stochastic optimization by identifying underlying system layouts. Stochastic optimization with probability distributions is robust, with small changes to distributions having minimal impact on outcomes.

Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM

Combination of uncertain ordinal expert statements: The combination rule EIDMR and its application to low-voltage grid classification with SVM PDF Author: Sebastian Breker
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 10

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Book Description
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.

Artificial Intelligence with Uncertainty

Artificial Intelligence with Uncertainty PDF Author: Deyi Li
Publisher: CRC Press
ISBN: 1315349833
Category : Mathematics
Languages : en
Pages : 274

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Book Description
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.

Power Systems and Power Plant Control 1989

Power Systems and Power Plant Control 1989 PDF Author: U. Ahn
Publisher: Elsevier
ISBN: 1483298949
Category : Technology & Engineering
Languages : en
Pages : 565

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Book Description
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.

Analytics and Optimization for Renewable Energy Integration

Analytics and Optimization for Renewable Energy Integration PDF Author: Ning Zhang
Publisher: CRC Press
ISBN: 0429847696
Category : Technology & Engineering
Languages : en
Pages : 317

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Book Description
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.