Electrical Energy Storage in Transportation Systems

Nonfiction, Science & Nature, Science, Physics, Energy
Cover of the book Electrical Energy Storage in Transportation Systems by Benoît Robyns, Christophe Saudemont, Daniel Hissel, Xavier Roboam, Bruno Sareni, Julien Pouget, Wiley
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Author: Benoît Robyns, Christophe Saudemont, Daniel Hissel, Xavier Roboam, Bruno Sareni, Julien Pouget ISBN: 9781119347767
Publisher: Wiley Publication: August 16, 2016
Imprint: Wiley-ISTE Language: English
Author: Benoît Robyns, Christophe Saudemont, Daniel Hissel, Xavier Roboam, Bruno Sareni, Julien Pouget
ISBN: 9781119347767
Publisher: Wiley
Publication: August 16, 2016
Imprint: Wiley-ISTE
Language: English

This book deals with the management and valuation of energy storage in electric power grids, highlighting the interest of storage systems in grid applications and developing management methodologies based on artificial intelligence tools. The authors highlight the importance of storing electrical energy, in the context of sustainable development, in "smart cities" and "smart transportation", and discuss multiple services that storing electrical energy can bring.

Methodological tools are provided to build an energy management system storage following a generic approach. These tools are based on causal formalisms, artificial intelligence and explicit optimization techniques and are presented throughout the book in connection with concrete case studies.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book deals with the management and valuation of energy storage in electric power grids, highlighting the interest of storage systems in grid applications and developing management methodologies based on artificial intelligence tools. The authors highlight the importance of storing electrical energy, in the context of sustainable development, in "smart cities" and "smart transportation", and discuss multiple services that storing electrical energy can bring.

Methodological tools are provided to build an energy management system storage following a generic approach. These tools are based on causal formalisms, artificial intelligence and explicit optimization techniques and are presented throughout the book in connection with concrete case studies.

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