30 citations to 10.1016/j.aci.2017.09.007 (Crossref Cited-By Service)
  1. Hai Guo, Qun Ding, Yifan Song, Haoran Tang, Likun Wang, Jingying Zhao, “Predicting Temperature of Permanent Magnet Synchronous Motor Based on Deep Neural Network”, Energies, 13, no. 18, 2020, 4782  crossref
  2. Yeliz Ekinci, Aysun Güran, “Development of a hybrid model to plan segment based optimal promotion strategy”, International Journal of Market Research, 65, no. 5, 2023, 642  crossref
  3. Engidaw Abel Hailu, George Nyauma Nyakoe, Christopher Maina Muriithi, “Techniques of power system static security assessment and improvement: A literature survey”, Heliyon, 9, no. 3, 2023, e14524  crossref
  4. Mukesh Singh, Sushil Chauhan, “Tree-Based Ensemble Machine Learning Techniques for Power System Static Security Assessment”, Electric Power Components and Systems, 50, no. 6-7, 2022, 359  crossref
  5. Shengjie Hu, Yuhong Wang, 2019 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), 2019, 2601  crossref
  6. Sebastian Krahmer, Stefan Ecklebe, Peter Schegner, Klaus Röbenack, “Zur Notwendigkeit von Stabilitätsbetrachtungen von Umrichterinteraktionen bei der Sicherheitsbewertung in Verteilnetzen”, at - Automatisierungstechnik, 71, no. 12, 2023, 1051  crossref
  7. Alessandro Bosisio, Matteo Moncecchi, Andrea Morotti, Marco Merlo, “Machine Learning and GIS Approach for Electrical Load Assessment to Increase Distribution Networks Resilience”, Energies, 14, no. 14, 2021, 4133  crossref
  8. Hassan Heidari, Mehrdad Tarafdar Hagh, Pedram Salehpoor, “Accurate, simultaneous and Real-Time screening of N-1, N-k, and N-1-1 contingencies”, International Journal of Electrical Power & Energy Systems, 136, 2022, 107592  crossref
  9. Diaa-Eldin A. Mansour, Ibrahim B.M. Taha, Rizwan A. Farade, Noor Izzri Bin Abdul Wahab, “Partial Discharge Diagnosis in GIS based on Pulse Sequence Features and Optimized Machine Learning Classification Techniques”, Electric Power Systems Research, 211, 2022, 108162  crossref
  10. Ifedayo Oladeji, Peter Makolo, Ramon Zamora, Tek Tjing Lie, “Density-based clustering and probabilistic classification for integrated transmission-distribution network security state prediction”, Electric Power Systems Research, 211, 2022, 108164  crossref
1
2
3
Next