Shulph Ink
Mathematical Optimization for Efficient and Robust Energy Networks
Mathematical Optimization for Efficient and Robust Energy Networks
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Excellent- More about Mathematical Optimization for Efficient and Robust Energy Networks
The COST Action TD1207 Mathematical Optimization in the Decision Support Systems for Efficient and Robust Energy Networks book presents a collection of energy production and distribution problems, aiming to develop innovative tools for quantitative decision-making and apply them to the efficient and robust design and management of energy networks. It is a resource for researchers and professionals working in the field.
Format: Paperback / softback
Length: 131 pages
Publication date: 20 March 2022
Publisher: Springer Nature Switzerland AG
This book presents a comprehensive collection of energy production and distribution problems identified by the members of the COST Action TD1207 Mathematical Optimization in the Decision Support Systems for Efficient and Robust Energy Networks. The overarching objective of the COST Action was to foster collaboration among experts from academia and industry in developing innovative tools for quantitative decision-making and applying them to the efficient and robust design and management of energy networks.
The work encompasses three primary goals:
• To serve as a versatile and comprehensive resource, offering a categorized set of pointers to numerous relevant prescriptive problems for energy systems.
• To provide a balanced blend of scientific and industrial perspectives, fostering a holistic understanding of the challenges and opportunities in the energy sector.
• To evolve over time in a flexible and dynamic manner, adapting to changing needs and perspectives, providing a more scientific, industrial, or even political perspective, as appropriate.
This book is intended for researchers and professionals working in the field of energy production, distribution, and management. It serves as a valuable resource for scholars, researchers, policymakers, and industry practitioners seeking to advance the state-of-the-art in energy systems optimization and decision-making.
Weight: 232g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030574444
Edition number: 1st ed. 2021
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