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Situational Awareness for Smart Distribution Systems

Author

Listed:
  • Leijiao Ge

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

  • Jun Yan

    (Concordia Institute for Information Systems Engineering, Concordia University, Montréal, QC H3G 1M8, Canada)

  • Yonghui Sun

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Zhongguan Wang

    (School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China)

Abstract

In recent years, the accelerating climate change and intensifying natural disasters have called for more renewable, resilient, and reliable energy from more distributed sources to more diversified consumers, resulting in a pressing need for advanced situational awareness of modern smart distribution systems [...]

Suggested Citation

  • Leijiao Ge & Jun Yan & Yonghui Sun & Zhongguan Wang, 2022. "Situational Awareness for Smart Distribution Systems," Energies, MDPI, vol. 15(11), pages 1-3, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4164-:d:832481
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    References listed on IDEAS

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    1. Jiufu Liu & Hongzhong Ma & Xiaolei Xie & Jun Cheng, 2022. "Short Text Classification for Faults Information of Secondary Equipment Based on Convolutional Neural Networks," Energies, MDPI, vol. 15(7), pages 1-15, March.
    2. Xi He & Heng Dong & Wanli Yang & Jun Hong, 2022. "A Novel Denoising Auto-Encoder-Based Approach for Non-Intrusive Residential Load Monitoring," Energies, MDPI, vol. 15(6), pages 1-15, March.
    3. Jiarui Wang & Dexin Li & Xiangyu Lv & Xiangdong Meng & Jiajun Zhang & Tengfei Ma & Wei Pei & Hao Xiao, 2022. "Two-Stage Energy Management Strategies of Sustainable Wind-PV-Hydrogen-Storage Microgrid Based on Receding Horizon Optimization," Energies, MDPI, vol. 15(8), pages 1-18, April.
    4. Yao Wang & Cuiyan Bai & Xiaopeng Qian & Wanting Liu & Chen Zhu & Leijiao Ge, 2022. "A DC Series Arc Fault Detection Method Based on a Lightweight Convolutional Neural Network Used in Photovoltaic System," Energies, MDPI, vol. 15(8), pages 1-20, April.
    5. Jiaan Zhang & Chenyu Liu & Leijiao Ge, 2022. "Short-Term Load Forecasting Model of Electric Vehicle Charging Load Based on MCCNN-TCN," Energies, MDPI, vol. 15(7), pages 1-25, April.
    6. Dahu Li & Xiaoda Cheng & Leijiao Ge & Wentao Huang & Jun He & Zhongwei He, 2022. "Multiple Power Supply Capacity Planning Research for New Power System Based on Situation Awareness," Energies, MDPI, vol. 15(9), pages 1-24, April.
    7. Leijiao Ge & Yuanliang Li & Yuanliang Li & Jun Yan & Yonghui Sun, 2022. "Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review," Energies, MDPI, vol. 15(3), pages 1-24, January.
    8. Hui Liu & Zhenggang Fan & Haimin Xie & Ni Wang, 2022. "Distributionally Robust Joint Chance-Constrained Dispatch for Electricity–Gas–Heat Integrated Energy System Considering Wind Uncertainty," Energies, MDPI, vol. 15(5), pages 1-18, February.
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    Cited by:

    1. Hanley, Brenda J. & Carstensen, Michelle & Walsh, Daniel P. & Christensen, Sonja A. & Storm, Daniel J. & Booth, James G. & Guinness, Joseph & Them, Cara E. & Ahmed, Md Sohel & Schuler, Krysten L., 2022. "Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer," Ecological Modelling, Elsevier, vol. 471(C).

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