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When CI and Decentralized Systems Effectively Meet Smart Cities and Grids

  • Vitor N. Coelho
  • Yuri B. Gabrich
  • Thays A. Oliveira
  • Luiz S. Ochi
  • Alexandre C. Barbosa
  • Igor M. Coelho
Chapter
Part of the Urban Computing book series (UC)

Abstract

A global trend has been motivating programmers, investors, and the academia to go towards decentralized systems. Besides providing efficient solutions for complex problems faced in our daily life, these peer-to-peer communication protocols have been promoting greater freedom and transparency. In this paper, we point out open fields for researching, thinking, and developing in the context of Smart Cities and Smart Grids. Future cities will surely rely on efficient, autonomous, transparent, collaborative, and decentralized environment. In particular, we consider how renewable energy resources could be integrated with mini-/microgrids, which will be hearth of the future cities. Furthermore, we discuss possibilities for promoting territorial development, through the assistance of Blockchain-based platforms embedded with Computational Intelligence tools.

Notes

Acknowledgements

Vitor N. Coelho would like to thank the support given by FAPERJ (grant E-26/202.868/2016). Alexandre C. Barbosa would like to thank the support given by the University of Padova.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Vitor N. Coelho
    • 1
  • Yuri B. Gabrich
    • 2
  • Thays A. Oliveira
    • 3
  • Luiz S. Ochi
    • 1
  • Alexandre C. Barbosa
    • 4
    • 5
    • 6
  • Igor M. Coelho
    • 7
  1. 1.Institute of Computer ScienceUniversidade Federal FluminenseNiteróiBrazil
  2. 2.Department of Computer ScienceUniversidade do Estado do Rio de JaneiroRio de JaneiroBrazil
  3. 3.Department of Engineering and Information and Communication TechnologiesUniversitat Pompeu FabraBarcelonaSpain
  4. 4.Università Degli Studi di PadovaPadovaItaly
  5. 5.Katholieke Universiteit LeuvenLeuvenBelgium
  6. 6.Universitè Paris 1 Panthèon-SorbonneParisFrance
  7. 7.Instituto de Matemática e EstatísticaUniversidade do Estado do Rio de JaneiroRio de JaneiroBrazil

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