Advanced studies for probabilistic optimal power flow in active distribution networks: A scientometric review
Zia Ullah(Shanxi University), Mohamed R. Elkadeem(King Fahd University of Petroleum and Minerals), Hany M. Hasanien(University of Sharjah), Hasan Saeed Qazi(COMSATS University Islamabad), Marcos Tostado‐Véliz(Universidad de Jaén), Muhammad Jabbar(University of Gujrat), Rania A. Turky(Future University in Egypt), Guoan Wu(Huazhong University of Science and Technology), Shoarong Wang(Huazhong University of Science and Technology)
Cited by 23
Related Papers
An IoT-enabled hierarchical decentralized framework for multi-energy microgrids market management in the presence of smart prosumers using a deep learning-based forecaster
|Applied Energy|2023|175
An improved wild horse optimization algorithm for reliability based optimal DG planning of radial distribution networks
|Energy Reports|2021|147
An interval-based nested optimization framework for deriving flexibility from smart buildings and electric vehicle fleets in the TSO-DSO coordination
|Applied Energy|2023|143
A novel methodology for optimal sizing photovoltaic-battery systems in smart homes considering grid outages and demand response
|Renewable Energy|2021|116
Circle Search Algorithm: A Geometry-Based Metaheuristic Optimization Algorithm
|Mathematics|2022|111