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Design Workflow For Cloud Service Information System For Integration And Knowledge Management Based In Renewable Energy

Author

Listed:
  • Adela Bara

    (The Bucharest University of Economic Study, Bucharest – Romania)

  • Ion Lungu

    (The Bucharest University of Economic Study, Bucharest – Romania)

  • Simona Vasilica Oprea

    (The Bucharest University of Economic Study, Bucharest – Romania)

  • George Carutasu

    (Romanian-American University, Bucharest – Romania)

  • Cornelia Paulina Botezatu

    (Romanian-American University, Bucharest – Romania)

  • Cezar Botezatu

    (Romanian-American University, Bucharest – Romania)

Abstract

The article presents the state of the art in decision support systems in energy field and further, the future work plan for design development of cloud service information system for integration and knowledge management based in renewable energy. The research is part of SIPAMER project, financed by NASR agency.

Suggested Citation

  • Adela Bara & Ion Lungu & Simona Vasilica Oprea & George Carutasu & Cornelia Paulina Botezatu & Cezar Botezatu, 2014. "Design Workflow For Cloud Service Information System For Integration And Knowledge Management Based In Renewable Energy," Romanian Economic Business Review, Romanian-American University, vol. 8(2), pages 230-237, December.
    • Handle: RePEc:rau:journl:v:8:y:2014:i:2:p:230-237
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI14/JISOM-WI14-A2.pdf
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    Citations

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    Cited by:

    1. Cornelia Paulina BOTEZATU & Cezar BOTEZATU & George CARUTASU & Alexandru PÎRJAN, 2015. "Research Issues Regarding The Main Indicators Used For Analysing The Incomes And Costs Of The Renewable Energy Producers Operating In Romania In View Of Developing A Decision Support System," Romanian Economic Business Review, Romanian-American University, vol. 9(1), pages 50-62, May.
    2. Ion LUNGU & Adela BÂRA & George CĂRUTASU & Alexandru PÎRJAN, & Simona-Vasilica OPREA, 2016. "Prediction Intelligent System In The Field Of Renewable Energies Through Neural Networks," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 85-102.

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