{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,19]],"date-time":"2026-02-19T08:24:02Z","timestamp":1771489442676,"version":"3.50.1"},"reference-count":47,"publisher":"Tech Science Press","issue":"3","license":[{"start":{"date-parts":[[2023,4,4]],"date-time":"2023-04-04T00:00:00Z","timestamp":1680566400000},"content-version":"vor","delay-in-days":93,"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.32604\/TSP-CROSSMARKPOLICY"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.32604\/csse.2023.036293","type":"journal-article","created":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T08:48:35Z","timestamp":1680511715000},"page":"2687-2709","update-policy":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.32604\/tsp-crossmarkpolicy","source":"Crossref","is-referenced-by-count":8,"title":["SMOGN, MFO, and XGBoost Based Excitation Current Prediction Model for Synchronous Machine"],"prefix":"10.32604","volume":"46","author":[{"given":"Ping-Huan","family":"Kuo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu-Tsun","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Her-Terng","family":"Yau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"17807","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"2189","DOI":"10.1016\/S0196-8904(02)00250-9","article-title":"Reactive power compensation using a fuzzy logic controlled synchronous motor","volume":"44","author":"\u00c7olak","year":"2003","journal-title":"Energy Conversion Management"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"2371","DOI":"10.1016\/j.enconman.2003.11.015","article-title":"Experimental study on reactive power compensation using a fuzzy logic controlled synchronous motor","volume":"45","author":"\u00c7olak","year":"2004","journal-title":"Energy Conversion Management"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.1002\/9781119967286","author":"Hofmann","year":"2012","journal-title":"Reactive Power Compensation: A Practical Guide"},{"key":"ref4","series-title":"2019 IEEE Innovative Smart Grid Technologies-Asia","first-page":"3537","article-title":"Reactive power compensation and control strategy for MMC-STATCOM doubly-fed wind farm","author":"Lu","year":"2019"},{"key":"ref5","series-title":"2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conf.","first-page":"1","article-title":"Grid connected PV system with reactive power compensation for the grid","author":"Dhaneria","year":"2020"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1109\/TEC.2011.2141136","article-title":"Nonlinear estimation of synchronous machine parameters using operating data","volume":"26","author":"Valverde","year":"2011","journal-title":"IEEE Transactions on Energy Conversion."},{"key":"ref7","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1109\/TIE.2003.814998","article-title":"High efficiency control of synchronous reluctance motors using extended kalman filter","volume":"50","author":"Senjyu","year":"2003","journal-title":"IEEE Transactions on Industrial Electronics"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.epsr.2008.05.009","article-title":"An intelligent power factor corrector for power system using artificial neural networks","volume":"79","author":"Bayindir","year":"2009","journal-title":"Electric Power System Research"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.enconman.2012.05.004","article-title":"A new approach to predict the excitation current and parameter weightings of synchronous machines based on genetic algorithm-based k-NN estimator","volume":"64","author":"Kahraman","year":"2012","journal-title":"Energy Conversion and Management"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1016\/S0045-7906(01)00046-5","article-title":"Hybrid genetic algorithm for the identification of high-order synchronous machine two-axis equivalent circuits","volume":"29","author":"Niewierowicz","year":"2003","journal-title":"Computers and Electrical Engineering"},{"key":"ref11","series-title":"2017 Int. Conf. on Circuits Power and Computing Technologies","first-page":"1","article-title":"MFO algorithm based fuzzy-PID controller in automatic generation control of multi-area system","author":"Sahu","year":"2017"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"1124","DOI":"10.1002\/tee.23410","article-title":"Improved auto disturbance rejection control based on moth flame optimization for permanent magnet synchronous motor","volume":"16","author":"Wang","year":"2021","journal-title":"IEEJ Transactions on Electrical and Electronic Engineering"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"2714","DOI":"10.3390\/app9132714","article-title":"Estimating the heating load of buildings for smart city planning using a novel artificial intelligence technique PSO-XGBoost","volume":"9","author":"Le","year":"2019","journal-title":"Applied Science"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"58392","DOI":"10.1109\/ACCESS.2020.2982418","article-title":"Network intrusion detection based on PSO-xgboost model","volume":"8","author":"Jiang","year":"2020","journal-title":"IEEE Access"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"109472","DOI":"10.1016\/j.commatsci.2019.109472","article-title":"A steel property optimization model based on the XGBoost algorithm and improved PSO","volume":"174","author":"Song","year":"2020","journal-title":"Computational Materials Science"},{"key":"ref16","unstructured":"UCI, \u201cSynchronous machine data Set,\u201d 2021. [Online]. https:\/\/2.zoppoz.workers.dev:443\/https\/archive.ics.uci.edu\/ml\/datasets\/Synchronous+Machine+Data+Set"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"3204","DOI":"10.1016\/j.enconman.2006.02.018","article-title":"Power factor correction technique based on artificial neural networks","volume":"47","author":"Sagiroglu","year":"2006","journal-title":"Energy Conversion Management"},{"key":"ref18","series-title":"2020 43rd Int. Conf. on Telecommunications and Signal Processing","first-page":"677","article-title":"Comparing normalization methods for limited batch size segmentation neural networks","author":"Kolarik","year":"2020"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"105524","DOI":"10.1016\/j.asoc.2019.105524","article-title":"Investigating the impact of data normalization on classification performance","volume":"97","author":"Singh","year":"2020","journal-title":"Applied Soft Computing"},{"key":"ref20","series-title":"2020 Fourth Int. Conf. on Computing Methodologies and Communication","first-page":"1034","article-title":"Diagnosis of crime rate against women using k-fold cross validation through machine learning","author":"Tamilarasi","year":"2020"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.32604\/csse.2022.025029","article-title":"Deep convolutional neural network based churn prediction for telecommunication industry","volume":"43","author":"Almufadi","year":"2022","journal-title":"Computer System Science Engineering"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"671","DOI":"10.32604\/csse.2022.021812","article-title":"X-Ray image-based COVID-19 patient detection using machine learning-based techniques","volume":"43","author":"Habib","year":"2022","journal-title":"Computer System Science Engineering"},{"key":"ref23","series-title":"First Int. Workshop on Learning with Imbalanced Domains: Theory and Applications","first-page":"36","article-title":"SMOGN: A pre-processing approach for imbalanced regression","author":"Branco","year":"2017"},{"key":"ref24","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.matcom.2018.04.010","article-title":"Design and implementation of DTC based on AFLC and PSO of a PMSM","volume":"167","author":"Mesloub","year":"2020","journal-title":"Mathematics Computers in Simulation"},{"key":"ref25","series-title":"2019 Int. Conf. on Smart Systems and Inventive Technology","first-page":"826","article-title":"A futuristic framework for financial credit score prediction system using PSO based feature selection with random tree data classification model","author":"Veeramanikandan","year":"2019"},{"key":"ref26","first-page":"87","volume":"811","author":"Mirjalili","year":"2020","journal-title":"Nature-Inspired Optimizers"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1016\/j.matcom.2021.09.014","article-title":"Chaotic hunger games search optimization algorithm for global optimization and engineering problems","volume":"192","author":"Onay","year":"2022","journal-title":"Mathematics and Computers in Simulation"},{"key":"ref28","series-title":"2020 IEEE 3rd Int. Conf. and Workshop in \u00d3buda on Electrical and Power Engineering","first-page":"000251","article-title":"Coronavirus disease (COVID-19) global prediction using hybrid artificial intelligence method of ANN trained with grey wolf optimizer","author":"Ardabili","year":"2020"},{"key":"ref29","series-title":"2018 Innovations in Intelligent Systems and Applications","first-page":"1","article-title":"A new hybrid approach based on genetic algorithm for minimum vertex cover","author":"Cinaroglu","year":"2018"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/j.matcom.2019.07.011","article-title":"Modeling of the algal atypical increase in La barca reservoir using the DE optimized least square support vector machine approach with feature selection","volume":"166","author":"Garc\u00eda-Nieto","year":"2019","journal-title":"Mathematics and Computers in Simulation"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.matcom.2019.06.017","article-title":"Opposition-based moth-flame optimization improved by differential evolution for feature selection","volume":"168","author":"Elaziz","year":"2020","journal-title":"Mathematics and Computers in Simulation"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1177\/09544054211041068","article-title":"Route outlining of humanoid robot on flat surface using MFO aided artificial potential field approach","volume":"236","author":"Kashyap","year":"2022","journal-title":"Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture"},{"key":"ref33","first-page":"e623","article-title":"The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation","volume":"7","author":"Chicco","year":"2021","journal-title":"PeerJ Computer Science"},{"key":"ref34","first-page":"1617","article-title":"Geometric structural ensemble learning for imbalanced problems","volume":"50","author":"Zhu","year":"2020","journal-title":"IEEE Transactions of Cybernetics"},{"key":"ref35","series-title":"2017 Int. Conf. on Smart Technologies for Smart Nation (SmartTechCon)","first-page":"1370","article-title":"Adaboost based parameterized methods for wireless sensor networks","author":"Yadahalli","year":"2017"},{"key":"ref36","series-title":"2019 6th Int. Conf. on Electrical and Electronics Engineering (ICEEE)","first-page":"186","article-title":"A Runge-kutta MLP neural network based control method for nonlinear MIMO systems","author":"Ucak","year":"2019"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1016\/j.matcom.2018.02.001","article-title":"Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning","volume":"149","author":"Farahani","year":"2018","journal-title":"Mathematics and Computers in Simulation"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"9872","DOI":"10.1109\/ACCESS.2018.2890127","article-title":"Multiple feature reweight DenseNet for image classification","volume":"7","author":"Zhang","year":"2019","journal-title":"IEEE Access"},{"key":"ref39","doi-asserted-by":"crossref","first-page":"4224","DOI":"10.1109\/TII.2021.3121783","article-title":"Juggler-ResNet: A flexible and high-speed ResNet optimization method for intrusion detection system in software-defined industrial networks","volume":"18","author":"Zhu","year":"2021","journal-title":"IEEE Transactions on Industrial Informatics"},{"key":"ref40","series-title":"2017 Int. Conf. on Digital Image Computing: Techniques and Applications (DICTA)","first-page":"1","article-title":"Extreme weather recognition using a novel fine-tuning strategy and optimized GoogLeNet","author":"Zhu","year":"2017"},{"key":"ref41","series-title":"2019 E-Health and Bioengineering Conf. (EHB)","first-page":"1","article-title":"Decision support in medical data using 3D decision tree visualisation","author":"Mrva","year":"2019"},{"key":"ref42","series-title":"2019 IEEE\/ACIS 18th Int. Conf. on Computer and Information Science (ICIS)","first-page":"315","article-title":"A crowdsourcing quality prediction model based on random forests","author":"Lan","year":"2019"},{"key":"ref43","series-title":"IGARSS 2019\u20132019 IEEE Int. Geoscience and Remote Sensing Symp.","first-page":"2738","article-title":"Collaborative representation ensemble using bagging for hyperspectral image classification","author":"Yu","year":"2019"},{"key":"ref44","series-title":"2020 IEEE Int. Conf. on Information Technology, Big Data and Artificial Intelligence (ICIBA)","first-page":"1150","article-title":"Comparison of road traffic accident prediction effects based on SVR and BP neural network","author":"Wu","year":"2020"},{"key":"ref45","series-title":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conf. (IAEAC)","first-page":"138","article-title":"Prediction of bottom-hole flow pressure in coalbed gas wells based on GA optimization SVM","author":"Xiangdong","year":"2018"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"2008","DOI":"10.1109\/JSYST.2021.3086298","article-title":"DTCDWT-SMOTE-XGBoost-based islanding detection for distributed generation systems: An approach of class-imbalanced issue","volume":"16","author":"Mishra","year":"2021","journal-title":"IEEE Systems Journal"},{"key":"ref47","series-title":"2021 Int. Conf. on Intelligent Technologies (CONIT)","first-page":"1","article-title":"Melanoma classification using XGB classifier and EfficientNet","author":"Kumar","year":"2021"}],"container-title":["Computer Systems Science and Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.techscience.com\/files\/csse\/2023\/TSP_CSSE-46-3\/TSP_CSSE_36293\/TSP_CSSE_36293.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,6]],"date-time":"2024-12-06T21:59:54Z","timestamp":1733522394000},"score":1,"resource":{"primary":{"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/www.techscience.com\/csse\/v46n3\/52179"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":47,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2023]]}},"URL":"https:\/\/2.zoppoz.workers.dev:443\/https\/doi.org\/10.32604\/csse.2023.036293","relation":{},"ISSN":["0267-6192"],"issn-type":[{"value":"0267-6192","type":"print"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"2022-09-24","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-12-08","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-04-03","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}