Products related to Simulation:
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Analytics and Optimization for Renewable Energy Integration
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.
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Introduction to Business Analytics Using Simulation
Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics.The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making.Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision.With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.
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Software Test Automation : Software Test Automation
This book describes how to build and implement an automated testing regime for software development.It presents a detailed account of the principles of automated testing, practical techniques for designing a good automated testing regime, and advice on choosing and applying off-the-shelf testing tools to specific needs.This sound and practical introduction to automated testing comes from two authors well known for their seminars, consultancy and training in the field.
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Business Process Analytics : Modeling, Simulation and Design
The fourth edition of this widely used textbook offers a new perspective.Previously titled Business Process Modeling, Simulation and Design, as the new title suggests, this book is about analytical business process modeling and design.However, this new edition introduces analytics to the title and to the presentation.The main objective of this book is to provide students with a comprehensive understanding of the multitude of analytical tools that can be used to model, analyze, understand, and ultimately design business processes.The most flexible and powerful of these tools, although not always the most appropriate, is discrete-event simulation.The wide range of approaches covered in this book include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, and analytical queuing methods, as well as machine learning.The authors focus on business processes as opposed to just manufacturing processes or general operations management problems and emphasize on simulation modeling using state-of-the-art commercial simulation software.Business Process Analytics: Modeling, Simulation, and Design can be thought of as a hybrid between traditional books on process management, operations management, and simulation.The growing interest in simulation-based tools suggests that an understanding of simulation modeling, its potential as well as its limitations for analyzing and designing processes, is of key importance to students looking for a future career in operations management. Changes from the previous edition include the following: New section on data-driven process improvement (with data visualization)Added a subsection of control charts to the 6-sigma sectionReplaced business process reengineering with business process managementUpdated all text, figures, examples, and exercises to ExtendSim10 (current version)More coverage on design of experimentsMore coverage of machine learning and neural networks
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Is life a simulation?
The question of whether life is a simulation is a philosophical and scientific debate that has been explored by many thinkers. Some argue that the complexity and order of the universe suggest that it could be a simulation created by a higher intelligence or advanced civilization. Others believe that life is not a simulation, but rather a product of natural processes and evolution. Ultimately, the answer to this question is still unknown and may remain a topic of speculation and debate for years to come.
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Is this world a simulation?
The question of whether our world is a simulation is a topic of philosophical debate. Some argue that advancements in technology and the possibility of creating realistic simulations suggest that it is possible our reality is simulated. Others believe that there is no concrete evidence to support this theory and that our world is real. Ultimately, the answer to this question remains unknown and is open to interpretation.
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Can life be a simulation?
The concept of life being a simulation is a philosophical idea that has been debated for years. Some argue that it is possible, given the advancements in technology and the potential for creating highly realistic simulations. Others believe that the complexity and unpredictability of life make it unlikely to be simulated. Ultimately, the question of whether life is a simulation remains unanswered and is open to interpretation and speculation.
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What is a driving simulation?
A driving simulation is a virtual environment that replicates real-world driving scenarios and conditions. It allows users to experience driving a vehicle in a controlled setting without the risks associated with actual driving. These simulations can be used for training purposes, research, entertainment, or testing new vehicle technologies. Users interact with the simulation through a steering wheel, pedals, and a screen that displays the virtual environment, providing a realistic driving experience.
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Modeling, Simulation, and Optimization of Geological Carbon Storage
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Predictive Analytics : Modeling and Optimization
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence.This book provides the most recent advances in the field along with case studies and real-world examples.It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management.It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management.Students taking courses in these areas will also find this book of interest.
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Hybrid Computational Intelligent Systems : Modeling, Simulation and Optimization
Hybrid Computational Intelligent Systems – Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use, thereby enabling researchers to come up with novel breakthroughs in this ever-growing field. Salient features include the fundamentals of modeling and simulation with recourse to knowledge-based simulation, interaction paradigms, and human factors, along with the enhancement of the existing state of art in a high-performance computing setup.In addition, this book presents optimization strategies to evolve robust and failsafe intelligent system modeling and simulation. The volume also highlights novel applications for different engineering problems including signal and data processing, speech, image, sensor data processing, innovative intelligent systems, and swarm intelligent manufacturing systems. Features:A self-contained approach to integrating the principles of hybrid computational ntelligence with system modeling and simulationWell-versed foundation of computational intelligence and its application to real life engineering problemsElucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subjectEffective modeling of hybrid intelligent systems forms the backbone of almost every operative system in real-lifeProper simulation of real-time hybrid intelligent systems is a prerequisite for deriving any real-life system solutionOptimized system modeling and simulation enable real-time and failsafe operations of the existing hybrid intelligent system solutionsInformation presented in an accessible way for researchers, engineers, developers, and practitioners from academia and industry working in all major areas and interdisciplinary areas of hybrid computational intelligence and communication systems to evolve human-centered modeling and simulations of real-time data-intensive intelligent systems.
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Innovation in Energy Security and Long-Term Energy Efficiency
The sustainable development of our planet depends on the use of energy. The growing population of the world inevitably causes an increase in the demand for energy, which, on the one hand, threatens the potential for shortages of energy supply, and, on the other hand, causes the deterioration of the environment.Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play a role in affecting the behavior of households and companies, by causing behavioral change oriented to energy stewardship, and an overall switch to renewable energy resources. This book provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate the driving of societies to long-term energy efficiency.
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Search for a manager simulation.
You can search for a manager simulation game on various platforms such as Steam, Google Play Store, or the Apple App Store. Some popular manager simulation games include Football Manager, Motorsport Manager, and SimCity. These games allow players to take on the role of a manager and make decisions that impact the success of their team or city. Whether you're interested in sports, business, or city-building, there are manager simulation games available to suit your interests.
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What does simulation seriously mean?
Simulation seriously means creating a model or representation of a real-world system or process in order to understand, analyze, and predict its behavior. It involves using mathematical and computational techniques to mimic the dynamics and interactions of the system, allowing for experimentation and scenario analysis without the need for real-world implementation. Simulation is a powerful tool for decision-making, risk assessment, and optimization in various fields such as engineering, healthcare, and finance. It allows for testing different strategies and understanding the potential outcomes of complex systems, ultimately leading to more informed and effective decision-making.
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What is a universe simulation?
A universe simulation is a computer-generated model that attempts to replicate the behavior and characteristics of the universe. It uses complex algorithms and physics-based rules to simulate the interactions of celestial bodies, galaxies, and other cosmic phenomena. Scientists and researchers use universe simulations to study and understand the dynamics of the universe, test theories, and make predictions about the behavior of astronomical objects. These simulations can provide valuable insights into the formation and evolution of the universe, as well as help us better understand the fundamental laws of physics that govern it.
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What are good flight simulation games?
Some popular flight simulation games include Microsoft Flight Simulator, X-Plane, and DCS World. These games are known for their realistic graphics, accurate flight physics, and a wide range of aircraft to choose from. Microsoft Flight Simulator, in particular, is praised for its stunning visuals and detailed world map. X-Plane is known for its realistic flight dynamics and customizable aircraft. DCS World is popular for its focus on military aircraft and detailed combat simulations.
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