Genetic Optimization Techniques For Sizing And Management Of Modern Power Systems
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Genetic Optimization Techniques for Sizing and Management of Modern Power Systems
Genetic Optimization Techniques for Sizing and Management of Modern Power Systems explores the design and management of energy systems using a genetic algorithm as the primary optimization technique. Coverage ranges across topics related to resource estimation and energy systems simulation. Chapters address the integration of distributed generation, the management of electric vehicle charging, and microgrid dimensioning for resilience enhancement with detailed discussion and solutions using parallel genetic algorithms. The work is suitable for researchers and practitioners working in power systems optimization requiring information for systems planning purposes, seeking knowledge on mathematical models available for simulation and assessment, and relevant applications in energy policy. - Presents a range of essential techniques for using genetic algorithms in power system analysis, includingeconomic dispatch, forecasting, and optimal power fl ow, among other topics. - Addresses relevant optimization problems, such as neural network training and clustering analysis, usinggenetic algorithms. - Discusses clearly and straightforwardly the implementation of genetic algorithms and its combination withother heuristic techniques. - Describes the iHOGA® and MHOGA® commercial tools, which utilize genetic algorithms for designingand managing energy systems based on renewable energies.
Artificial Intelligence and Animal Ecology
Artificial Intelligence and Animal Ecology: A Review explores the transformative synergy between AI and animal ecology, unveiling how cutting-edge technology is revolutionizing ecological research and conservation. This pioneering book bridges these dynamic fields, demonstrating how AI techniques—such as evolutionary algorithms and optimization methods—both draw inspiration from and advance the study of animal behavior, species interactions, and environmental adaptation. With a strong focus on innovation, it examines groundbreaking AI applications, from bio-inspired algorithms and adaptive learning to breakthroughs in animal communication and behavioral analysis. Readers will gain valuable insights into how AI deciphers complex ecological dynamics, including navigation, vocal communication, and interspecies relationships. The book also addresses ethical considerations, ensuring responsible AI integration in ecological research. More than just a review, this book is a call to action. It empowers researchers, conservationists, and ecologists to embrace AI-driven solutions, fostering interdisciplinary collaboration and expanding the frontiers of ecological knowledge. As AI continues to evolve, Artificial Intelligence and Animal Ecology: A Review provides a vital roadmap for addressing environmental challenges with innovation and a deeper appreciation of the natural world.
Hydrogen Fuel Cell Technology for Mobile Applications
Author: Felseghi, Raluca Andreea
language: en
Publisher: IGI Global
Release Date: 2023-07-03
Today, hydrogen is recognized as a non-polluting energy carrier because it does not contribute to global warming if it is produced from renewable sources. Hydrogen, focusing on the fact that hydrogen can be obtained from a wide range of primary energies, is the only secondary vector that lends itself to a wider application on the market. With the development of fuel cells, hydrogen-based energy generation becomes a reality, with hydrogen becoming an energy alternative worldwide. Because hydrogen can be produced from a wide range of primary energies and can be consumed in an increasing number of applications, it will become an energy center just as electricity is today. The world is on a brink of a new era characterized by advanced technologies and new fuels. Hydrogen Fuel Cell Technology for Mobile Applications addresses the use of fuel cell technology for a sustainable future of mobile applications. The book presents the latest state-of-the-art research results and methodologies addressing the top concerns in the area of hydrogen fuel cell technology for mobile applications. Covering topics such as clean transportation, hydrogen safety issues, and performance improvement, this premier reference source is an excellent resource for scientists, fuel cell manufacturers, engineers, students and educators of higher education, researchers, and academicians.