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Number Citing Articles
1 Zou Y, Wu R, Tian X, Li H. Realizing the Improvement of the Reliability and Efficiency of Intelligent Electricity Inspection: IAOA-BP Algorithm for Anomaly Detection. Energies 2023;16:3021. [DOI: 10.3390/en16073021] [Reference Citation Analysis]
2 Balu K, Mukherjee V. Optimal allocation of electric vehicle charging stations and renewable distributed generation with battery energy storage in radial distribution system considering time sequence characteristics of generation and load demand. Journal of Energy Storage 2023;59:106533. [DOI: 10.1016/j.est.2022.106533] [Reference Citation Analysis]
3 Alaa M. Abdel-hamed, Mohamed M. El-Shafhy, Ebrahim A. Badran. A new method for ferroresonance suppression in an IEEE 33-bus distribution system integrated with multi distributed generation. Sci Rep 2023;13:3381. [PMID: 36854809 DOI: 10.1038/s41598-023-30268-w] [Reference Citation Analysis]
4 Salimon SA, Adepoju GA, Adebayo IG, Howlader HOR, Ayanlade SO, Adewuyi OB. Impact of Distributed Generators Penetration Level on the Power Loss and Voltage Profile of Radial Distribution Networks. Energies 2023;16:1943. [DOI: 10.3390/en16041943] [Reference Citation Analysis]
5 Zeng C, Qin T, Tan W, Lin C, Zhu Z, Yang J, Yuan S. Coverage Optimization of Heterogeneous Wireless Sensor Network Based on Improved Wild Horse Optimizer. Biomimetics (Basel) 2023;8. [PMID: 36810401 DOI: 10.3390/biomimetics8010070] [Reference Citation Analysis]
6 Isha G, Jagatheeswari P, Jasmine Gnana Malar A. Elitist Harris Hawks Optimized Voltage Stability Enhancement in Radial Distribution System. J Electr Eng Technol 2023. [DOI: 10.1007/s42835-023-01375-5] [Reference Citation Analysis]
7 Nadimi-Shahraki MH, Taghian S, Zamani H, Mirjalili S, Elaziz MA. MMKE: Multi-trial vector-based monkey king evolution algorithm and its applications for engineering optimization problems. PLoS One 2023;18:e0280006. [PMID: 36595557 DOI: 10.1371/journal.pone.0280006] [Reference Citation Analysis]
8 Yang Z, Yang F, Min H, Tian H, Hu W, Liu J, Eghbalian N. Energy management programming to reduce distribution network operating costs in the presence of electric vehicles and renewable energy sources. Energy 2023;263:125695. [DOI: 10.1016/j.energy.2022.125695] [Reference Citation Analysis]
9 Meera P, Hemamalini S. Reliability assessment and enhancement of distribution networks integrated with renewable distributed generators: A review. Sustainable Energy Technologies and Assessments 2022;54:102812. [DOI: 10.1016/j.seta.2022.102812] [Reference Citation Analysis]
10 Mahdad B. Towards Sustainable Integration of STATCOM and DGs Based Radial Distribution Systems Using Dynamic Adaptive Aquila Optimizer. Process Integr Optim Sustain 2022. [DOI: 10.1007/s41660-022-00301-y] [Reference Citation Analysis]
11 El-tawab S, Mohamed HS, Abdel-aziz AM. A Novel Proposed Algorithm to Enhance the Overcurrent Relays’ Performance in Active Distribution Networks. International Transactions on Electrical Energy Systems 2022;2022:1-16. [DOI: 10.1155/2022/7630011] [Reference Citation Analysis]
12 Matijašević T, Antić T, Capuder T. A systematic review of machine learning applications in the operation of smart distribution systems. Energy Reports 2022;8:12379-407. [DOI: 10.1016/j.egyr.2022.09.068] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
13 Bamikole JO, Narasigadu C. Application of Pathfinder, Honey Badger, Red Fox and Horse Herd Algorithms to Phase Equilibria and Stability Problems. Fluid Phase Equilibria 2022. [DOI: 10.1016/j.fluid.2022.113682] [Reference Citation Analysis]
14 Milovanović M, Klimenta D, Panić M, Klimenta J, Perović B. An application of Wild Horse Optimizer to multi-objective energy management in a micro-grid. Electr Eng. [DOI: 10.1007/s00202-022-01636-y] [Reference Citation Analysis]
15 Alrayes FS, Alzahrani JS, Alissa KA, Alharbi A, Alshahrani H, Elfaki MA, Yafoz A, Mohamed A, Hilal AM. Dwarf Mongoose Optimization-Based Secure Clustering with Routing Technique in Internet of Drones. Drones 2022;6:247. [DOI: 10.3390/drones6090247] [Reference Citation Analysis]
16 Vasanthkumar P, Senthilkumar N, Rao KS, Metwally ASM, Fattah IM, Shaafi T, Murugan VS. Improving energy consumption prediction for residential buildings using Modified Wild Horse Optimization with Deep Learning model. Chemosphere 2022;:136277. [PMID: 36058376 DOI: 10.1016/j.chemosphere.2022.136277] [Reference Citation Analysis]
17 Anjali R, Venkatesan G. Optimization of mechanical properties and composition of M-sand and pet particle added concrete using hybrid deep neural network-horse herd optimization algorithm. Construction and Building Materials 2022;347:128334. [DOI: 10.1016/j.conbuildmat.2022.128334] [Reference Citation Analysis]
18 Kumar V, Sudabattula SK, Dharavat N. Optimal integration of renewable distributed generators and electric vehicles in a radial distributed network. J Phys : Conf Ser 2022;2327:012010. [DOI: 10.1088/1742-6596/2327/1/012010] [Reference Citation Analysis]
19 Li Y, Yuan Q, Han M, Cui R. Hybrid Multi‐Strategy Improved Wild Horse Optimizer. Advanced Intelligent Systems. [DOI: 10.1002/aisy.202200097] [Reference Citation Analysis]
20 Sarhan S, Shaheen AM, El-sehiemy RA, Gafar M. Enhanced Teaching Learning-Based Algorithm for Fuel Costs and Losses Minimization in AC-DC Systems. Mathematics 2022;10:2337. [DOI: 10.3390/math10132337] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
21 Khajehzadeh M, Iraji A, Majdi A, Keawsawasvong S, Nehdi ML. Adaptive Salp Swarm Algorithm for Optimization of Geotechnical Structures. Applied Sciences 2022;12:6749. [DOI: 10.3390/app12136749] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Iraji A, Karimi J, Keawsawasvong S, Nehdi ML. Minimum Safety Factor Evaluation of Slopes Using Hybrid Chaotic Sand Cat and Pattern Search Approach. Sustainability 2022;14:8097. [DOI: 10.3390/su14138097] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
23 Song J, Lu C, Ma Q, Zhou H, Yue Q, Zhu Q, Zhao Y, Fan Y, Huang Q. Distributed Integrated Synthetic Adaptive Multi-Objective Reactive Power Optimization. Symmetry 2022;14:1275. [DOI: 10.3390/sym14061275] [Reference Citation Analysis]
24 Ali MH, Salawudeen AT, Kamel S, Salau HB, Habil M, Shouran M. Single- and Multi-Objective Modified Aquila Optimizer for Optimal Multiple Renewable Energy Resources in Distribution Network. Mathematics 2022;10:2129. [DOI: 10.3390/math10122129] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
25 Nadimi-shahraki MH, Taghian S, Mirjalili S, Abualigah L. Binary Aquila Optimizer for Selecting Effective Features from Medical Data: A COVID-19 Case Study. Mathematics 2022;10:1929. [DOI: 10.3390/math10111929] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
26 Raviprabhakaran V. Performance enrichment in optimal location and sizing of wind and solar PV centered distributed generation by communal spider optimization algorithm. COMPEL 2022. [DOI: 10.1108/compel-12-2021-0495] [Reference Citation Analysis]
27 Gallego Pareja LA, López-lezama JM, Gómez Carmona O. A Mixed-Integer Linear Programming Model for the Simultaneous Optimal Distribution Network Reconfiguration and Optimal Placement of Distributed Generation. Energies 2022;15:3063. [DOI: 10.3390/en15093063] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
28 Çetinkaya MB, Taşkiran K. Meta-Sezgisel Algoritmalara Dayalı Retinal Damar Bölütleme. Journal of Materials and Mechatronics: A 2022. [DOI: 10.55546/jmm.1085031] [Reference Citation Analysis]
29 Ewees AA, Ismail FH, Ghoniem RM. Wild Horse Optimizer-Based Spiral Updating for Feature Selection. IEEE Access 2022;10:106258-106274. [DOI: 10.1109/access.2022.3211263] [Reference Citation Analysis]
30 Noroozi M, Mohammadi H, Efatinasab E, Lashgari A, Eslami M, Khan B. Golden Search Optimization Algorithm. IEEE Access 2022;10:37515-32. [DOI: 10.1109/access.2022.3162853] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]