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Data-Intensive Computing in Smart Microgrids: Volume II

Author

Listed:
  • Herodotos Herodotou

    (Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Limassol 3036, Cyprus)

  • Sheraz Aslam

    (Department of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Limassol 3036, Cyprus)

Abstract

Power grids play an important role in modern societies by providing an uninterrupted energy supply and have become a key driving force behind the growth of the world’s economies [...]

Suggested Citation

  • Herodotos Herodotou & Sheraz Aslam, 2022. "Data-Intensive Computing in Smart Microgrids: Volume II," Energies, MDPI, vol. 15(16), pages 1-2, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:16:p:5833-:d:885827
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    References listed on IDEAS

    as
    1. Aslam, Sheraz & Herodotou, Herodotos & Mohsin, Syed Muhammad & Javaid, Nadeem & Ashraf, Nouman & Aslam, Shahzad, 2021. "A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    2. Sheraz Aslam & Zafar Iqbal & Nadeem Javaid & Zahoor Ali Khan & Khursheed Aurangzeb & Syed Irtaza Haider, 2017. "Towards Efficient Energy Management of Smart Buildings Exploiting Heuristic Optimization with Real Time and Critical Peak Pricing Schemes," Energies, MDPI, vol. 10(12), pages 1-25, December.
    3. Herodotos Herodotou, 2021. "Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids," Energies, MDPI, vol. 14(9), pages 1-3, May.
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