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Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids

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  • Herodotos Herodotou

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

Abstract

Microgrids have recently emerged as the building block of a smart grid combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions [...]

Suggested Citation

  • Herodotos Herodotou, 2021. "Introduction to the Special Issue on Data-Intensive Computing in Smart Microgrids," Energies, MDPI, vol. 14(9), pages 1-3, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:9:p:2704-:d:550860
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    References listed on IDEAS

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    1. Bilal Masood & M. Arif Khan & Sobia Baig & Guobing Song & Ateeq Ur Rehman & Saif Ur Rehman & Rao M. Asif & Muhammad Babar Rasheed, 2020. "Investigation of Deterministic, Statistical and Parametric NB-PLC Channel Modeling Techniques for Advanced Metering Infrastructure," Energies, MDPI, vol. 13(12), pages 1-20, June.
    2. Sajjad Ali & Imran Khan & Sadaqat Jan & Ghulam Hafeez, 2021. "An Optimization Based Power Usage Scheduling Strategy Using Photovoltaic-Battery System for Demand-Side Management in Smart Grid," Energies, MDPI, vol. 14(8), pages 1-29, April.
    3. Kalim Ullah & Sajjad Ali & Taimoor Ahmad Khan & Imran Khan & Sadaqat Jan & Ibrar Ali Shah & Ghulam Hafeez, 2020. "An Optimal Energy Optimization Strategy for Smart Grid Integrated with Renewable Energy Sources and Demand Response Programs," Energies, MDPI, vol. 13(21), pages 1-17, November.
    4. Kaleem Ullah & Abdul Basit & Zahid Ullah & Sheraz Aslam & Herodotos Herodotou, 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview," Energies, MDPI, vol. 14(9), pages 1-43, April.
    5. Waqas Ahmad & Nasir Ayub & Tariq Ali & Muhammad Irfan & Muhammad Awais & Muhammad Shiraz & Adam Glowacz, 2020. "Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine," Energies, MDPI, vol. 13(11), pages 1-17, June.
    6. Zeeshan Aslam & Nadeem Javaid & Ashfaq Ahmad & Abrar Ahmed & Sardar Muhammad Gulfam, 2020. "A Combined Deep Learning and Ensemble Learning Methodology to Avoid Electricity Theft in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-24, October.
    7. Rasool Bukhsh & Muhammad Umar Javed & Aisha Fatima & Nadeem Javaid & Muhammad Shafiq & Jin-Ghoo Choi, 2020. "Cost Efficient Real Time Electricity Management Services for Green Community Using Fog," Energies, MDPI, vol. 13(12), pages 1-23, June.
    8. Nasir Ayub & Muhammad Irfan & Muhammad Awais & Usman Ali & Tariq Ali & Mohammed Hamdi & Abdullah Alghamdi & Fazal Muhammad, 2020. "Big Data Analytics for Short and Medium-Term Electricity Load Forecasting Using an AI Techniques Ensembler," Energies, MDPI, vol. 13(19), pages 1-21, October.
    9. Muhammad Shuaib Qureshi & Muhammad Bilal Qureshi & Muhammad Fayaz & Muhammad Zakarya & Sheraz Aslam & Asadullah Shah, 2020. "Time and Cost Efficient Cloud Resource Allocation for Real-Time Data-Intensive Smart Systems," Energies, MDPI, vol. 13(21), pages 1-25, October.
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    Cited by:

    1. Herodotos Herodotou & Sheraz Aslam, 2022. "Data-Intensive Computing in Smart Microgrids: Volume II," Energies, MDPI, vol. 15(16), pages 1-2, August.

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