Open Access
Issue
EPJ Web Conf.
Volume 372, 2026
Advanced Power Systems (APS 2026)
Article Number 01009
Number of page(s) 7
Section Intelligent, Digital and Resilient Power Systems
DOI https://doi.org/10.1051/epjconf/202637201009
Published online 11 June 2026
  1. M. Fotopoulou, S. Petridis, I. Karachalios, D. Rakopoulos, A review on distribution system state estimation algorithms. Appl. Sci., 12(21), 11073 (2022). https://doi.org/10.3390/app122111073 [Google Scholar]
  2. J. Vijaychandra, B. R. V. Prasad, V. K. Darapureddi, B. V. Rao, Ł. Knypiński, A review of distribution system state estimation methods and their applications in power systems. Electronics 12(3), 603 (2023). https://doi.org/10.3390/electronics12030603 [Google Scholar]
  3. L. Barancsuk, B. Hartmann, Analysis of state estimation accuracy in distribution networks using pseudo-measurement selection and real measurement incorporation. Acta Polytech. Hung. 21(11), 115–132 (2024). https://doi.org/10.12700/APH.21.11.2024.11.7 [Google Scholar]
  4. M. Treutlein, M. Schmidt, R. Hahn, M. Hertel, B. Heidrich, R. Mikut, V. Hagenmeyer, Generating peak-aware pseudo-measurements for low-voltage distribution system state estimation. IET Smart Grid, early access, (2025). https://doi.org/10.1049/stg2.12210 [Google Scholar]
  5. L. Tong, W. Chai, D. Wu, Topology and impedance identification of low-voltage distribution networks based on smart meter measurements. Front. Energy Res. 10, 895397 (2022). https://doi.org/10.3389/fenrg.2022.895397 [Google Scholar]
  6. P. Paudyal, K. Utkarsh, S. Veda, A. Cohen, E. Miron, Advanced sensor deployment for distribution system state estimation and fault identification. Nat. Renew. Energy Lab. (NREL), Tech. Rep. NREL/TP-5D00-80844, (2022). https://doi.org/10.2172/1893456 [Google Scholar]
  7. M. Zeraati, M. Shabanzadeh, M. R. Sheibani, F. Jabari, Meter placement algorithms to enhance distribution system state estimation. IET Renew. Power Gener. 16(6), 1323–1335 (2022). https://doi.org/10.1049/rpg2.12570 [Google Scholar]
  8. A. Rangarajan, R. K. Gupta, D. K. Molzahn, L. Roald, Forecast-aided state estimation in unbalanced distribution networks using smart meter data under limited communication bandwidth. SoftwareX 25, 101618, (2025). https://doi.org/10.1016/j.softx.2025.101618 [Google Scholar]

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