Big data in power systems leveraging grid optimization and wave energy integration

Nuno Amaro, Joao Murta Pina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Power systems have been through different challenges and technological innovations in the last years and are rapidly evolving into digital systems through the deployment of the smart grids concept. Producing large amounts of data, power systems can benefit from the application of big data analytics which can help leveraging the optimization processes going on in power grids nowadays. The whole value of chain of electric power can benefit from the application of big data techniques. This paper presents a short overview of possible applications and challenges that still need to be considered for this synergy to grow. Under the framework of an H2020 funded project named BigDataOcean, a case study will be described, showing how a data-driven approach can foster the development of offshore renewable sources using the example of wave energy.

Original languageEnglish
Title of host publication2017 International Conference on Engineering, Technology and Innovation
Subtitle of host publicationEngineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1046-1054
Number of pages9
Volume2018-January
ISBN (Electronic)9781538607749
DOIs
Publication statusPublished - 2 Feb 2018
Event23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017 - Madeira Island, Portugal
Duration: 27 Jun 201729 Jun 2017

Conference

Conference23rd International Conference on Engineering, Technology and Innovation, ICE/ITMC 2017
Country/TerritoryPortugal
CityMadeira Island
Period27/06/1729/06/17

Keywords

  • big data
  • BigDataOcean
  • wave energy

Fingerprint

Dive into the research topics of 'Big data in power systems leveraging grid optimization and wave energy integration'. Together they form a unique fingerprint.

Cite this