{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T12:59:25Z","timestamp":1776776365895,"version":"3.51.2"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T00:00:00Z","timestamp":1662336000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T00:00:00Z","timestamp":1662336000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board","doi-asserted-by":"publisher","award":["SB\/S3\/EECE\/030\/2016"],"award-info":[{"award-number":["SB\/S3\/EECE\/030\/2016"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board","doi-asserted-by":"publisher","award":["DATED 17\/08\/2016"],"award-info":[{"award-number":["DATED 17\/08\/2016"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Fuzzy Syst."],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1007\/s40815-022-01265-4","type":"journal-article","created":{"date-parts":[[2022,9,5]],"date-time":"2022-09-05T02:02:11Z","timestamp":1662343331000},"page":"3416-3430","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Performance Enhancement of DVR Using Adaptive Neural Fuzzy and Extreme Learning Machine-Based Control Strategy"],"prefix":"10.1007","volume":"24","author":[{"given":"Prashant","family":"Kumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4745-2998","authenticated-orcid":false,"given":"Sabha Raj","family":"Arya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khyati D.","family":"Mistry","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,5]]},"reference":[{"key":"1265_CR1","doi-asserted-by":"crossref","unstructured":"Roncero-S\u00e1nchez, P., Acha, E., Ortega Calderon, J.E., Batlle, V.F., Garcia Cerrada, A.: A versatile control scheme for a dynamic voltage restorer for power-quality improvement. IEEE Trans. Power Delivery 24(1), 277\u2013284 (2009)","DOI":"10.1109\/TPWRD.2008.2002967"},{"key":"1265_CR2","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1016\/j.ijepes.2016.04.014","volume":"83","author":"MH Khooban","year":"2016","unstructured":"Khooban, M.H., Javidan, R.: A novel control strategy for DVR: optimal bi-objective structure emotional learning. Int. J. Electr. Power Energy Syst. 83, 259\u2013269 (2016)","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"1265_CR3","first-page":"3","volume":"2016","author":"C Benachaiba","year":"2016","unstructured":"Benachaiba, C., Mazari, B., Tandjaoui, M.N., Haidar, A.M.: Power quality enhancement using DVR based on ant colony controller. International Scientific Conference on Power and Electrical Engineering RTUCON 2016, 3\u20136 (2016)","journal-title":"International Scientific Conference on Power and Electrical Engineering RTUCON"},{"issue":"1","key":"1265_CR4","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1109\/TPWRD.2010.2050706","volume":"26","author":"VG Kinhal","year":"2011","unstructured":"Kinhal, V.G., Agarwal, P., Gupta, H.O., Member, S.: Performance Investigation of neural network based unified power-quality conditioner. IEEE Trans. Power Delivery 26(1), 431\u2013437 (2011)","journal-title":"IEEE Trans. Power Delivery"},{"key":"1265_CR5","doi-asserted-by":"publisher","unstructured":"D. Committee, I. Power and E. Society, IEEE Recommended Practice and Requirements for Harmonic Control in Electric Power Systems. In: IEEE Std 519-2014 (Revision of IEEE Std 519-1992), pp.1\u201329, 11 June 2014. https:\/\/doi.org\/10.1109\/IEEESTD.2014.6826459 (2014)","DOI":"10.1109\/IEEESTD.2014.6826459"},{"issue":"1","key":"1265_CR6","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.epsr.2011.09.013","volume":"83","author":"E Babaei","year":"2012","unstructured":"Babaei, E., Kangarlu, M.F.: Sensitive load voltage compensation against voltage sags\/swells and harmonics in the grid voltage and limit downstream fault currents using DVR. J. Electr. Power Syst. Res. 83(1), 80\u201390 (2012)","journal-title":"J Electr Power Syst Res"},{"issue":"5","key":"1265_CR7","doi-asserted-by":"publisher","first-page":"2683","DOI":"10.1109\/TIE.2014.2362096","volume":"62","author":"AM Rauf","year":"2015","unstructured":"Rauf, A.M., Khadkikar, V.: An enhanced voltage sag compensation scheme for dynamic voltage restorer. IEEE Trans. Industr. Electron. 62(5), 2683\u20132692 (2015)","journal-title":"IEEE Trans. Industr. Electron."},{"issue":"4","key":"1265_CR8","doi-asserted-by":"publisher","first-page":"2310","DOI":"10.1109\/TPWRD.2008.923053","volume":"23","author":"UK Rao","year":"2008","unstructured":"Rao, U.K., Mishra, M.K., Ghosh, A.: Control strategies for load compensation using instantaneous symmetrical component theory under different supply voltages. IEEE Trans. Power Delivery 23(4), 2310\u20132317 (2008)","journal-title":"IEEE Trans. Power Delivery"},{"issue":"5","key":"1265_CR9","doi-asserted-by":"publisher","first-page":"3026","DOI":"10.1109\/TIA.2014.2304623","volume":"50","author":"B Singh","year":"2014","unstructured":"Singh, B., Arya, S.R., Chandra, A., Al-Haddad, K.: Implementation of adaptive filter in distribution static compensator. IEEE Trans. Ind. Appl. 50(5), 3026\u20133036 (2014)","journal-title":"IEEE Trans. Ind. Appl."},{"key":"1265_CR10","doi-asserted-by":"crossref","unstructured":"Wang, Q., Wu, N., Wang, Z.: A neuron adaptive detecting approach of harmonic current for APF and its realization of analog circuit. IEEE Trans. Instrum. Measur. 50(1), 77\u201384 (2001)","DOI":"10.1109\/19.903881"},{"key":"1265_CR11","doi-asserted-by":"crossref","unstructured":"Badoni, M., Singh, A., Singh, B.: Comparative performance of wiener filter and adaptive least mean square-based control for power quality improvement. IEEE Trans. Ind. Electron. 63(5), 3028\u20133037 (2016)","DOI":"10.1109\/TIE.2016.2515558"},{"issue":"5","key":"1265_CR12","doi-asserted-by":"publisher","first-page":"4877","DOI":"10.1109\/TIA.2017.2715173","volume":"53","author":"DA Fernandes","year":"2017","unstructured":"Fernandes, D.A., Costa, F.F., Martins, J.R.S., Lock, A.S., Da Silva, E.R.C., Vitorino, M.A.: Sensitive load voltage compensation performed by a suitable control method. IEEE Trans. Ind. Appl. 53(5), 4877\u20134885 (2017)","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"2","key":"1265_CR13","doi-asserted-by":"publisher","first-page":"518","DOI":"10.1109\/28.568018","volume":"33","author":"VSC Raviraj","year":"1997","unstructured":"Raviraj, V.S.C., Sen, P.C.: Comparative study of proportional-integral, sliding mode, and fuzzy logic controllers for power converters. IEEE Trans. Ind. Appl. 33(2), 518\u2013524 (1997)","journal-title":"IEEE Trans. Ind. Appl."},{"issue":"1","key":"1265_CR14","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.jprocont.2010.10.006","volume":"21","author":"F Padula","year":"2011","unstructured":"Padula, F., Visioli, A.: Tuning rules for optimal PID and fractional-order PID controllers. J. Process Control 21(1), 69\u201381 (2011)","journal-title":"J. Process Control"},{"issue":"3\u20134","key":"1265_CR15","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1177\/0020294019879171","volume":"53","author":"S Kakkar","year":"2020","unstructured":"Kakkar, S., Ahuja, R.K., Maity, T.: Performance enhancement of grid-interfaced inverter using intelligent controller. J. Meas.  Control 53(3\u20134), 551\u2013563 (2020)","journal-title":"Journal of Measurement and Control"},{"key":"1265_CR16","doi-asserted-by":"crossref","unstructured":"Ebrahim, M.A., Talat, B., Saied, E.M.: Implementation of self-adaptive Harris Hawks Optimization-based energy management scheme of fuel cell-based electric power system. Int. J. Hydrogen Energy, pp 1\u201320 (2021)","DOI":"10.1016\/j.ijhydene.2021.02.116"},{"key":"1265_CR17","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.advengsoft.2017.05.014","volume":"114","author":"G Dhiman","year":"2017","unstructured":"Dhiman, G., Kumar, V.: Spotted hyena optimizer: A novel bio-inspired based metaheuristic technique for engineering applications. J. Adv. Eng. Softw. 114, 48\u201370 (2017)","journal-title":"Journal of Advances in Engineering Software"},{"key":"1265_CR18","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.jocs.2017.10.007","volume":"23","author":"SK Dinkar","year":"2017","unstructured":"Dinkar, S.K., Deep, K.: Opposition based laplacian ant lion optimizer. J. Comput. Sci. 23, 71\u201390 (2017)","journal-title":"Journal of Computational Science"},{"key":"1265_CR19","doi-asserted-by":"publisher","first-page":"242","DOI":"10.1016\/j.eswa.2017.04.023","volume":"83","author":"MA El Aziz","year":"2017","unstructured":"El Aziz, M.A., Ewees, A.A., Hassanien, A.E.: Whale optimization algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation. J. Expert Syst. Appl. 83, 242\u2013256 (2017)","journal-title":"J. Expert Syst. Appl."},{"issue":"3","key":"1265_CR20","doi-asserted-by":"publisher","first-page":"314","DOI":"10.1049\/iet-gtd.2010.0355","volume":"5","author":"Y Xu","year":"2011","unstructured":"Xu, Y., Dong, Z.Y., Meng, K., Zhang, R., Wong, K.P.: Real-time transient stability assessment model using extreme learning machine. J. IET Gener. Trans. Distrib. 5(3), 314\u2013322 (2011)","journal-title":"J. IET Gener. Trans. Distrib."},{"issue":"5","key":"1265_CR21","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1109\/91.963761","volume":"9","author":"FJ Lin","year":"2001","unstructured":"Lin, F.J., Lin, C.H., Shen, P.H.: Self-constructing fuzzy neural network speed controller for permanent-magnet synchronous motor drive. IEEE Trans. Fuzzy Syst. 9(5), 751\u2013759 (2001)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"1265_CR22","doi-asserted-by":"crossref","unstructured":"Wang, N., Joo Er, M.: Self-Constructing adaptive robust fuzzy neural tracking control of surface vehicles with uncertainties and unknown disturbances. IEEE Trans. Control Syst. Technol. 23, 991\u20131002 (2015)","DOI":"10.1109\/TCST.2014.2359880"},{"issue":"3","key":"1265_CR23","doi-asserted-by":"publisher","first-page":"1493","DOI":"10.1109\/TIE.2013.2258299","volume":"61","author":"R Lian","year":"2014","unstructured":"Lian, R.: Adaptive self-organizing fuzzy sliding-mode radial basis-function neural-network controller for robotic systems. IEEE Trans. Industr. Electron. 61(3), 1493\u20131503 (2014)","journal-title":"IEEE Trans. Industr. Electron."},{"key":"1265_CR24","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.engappai.2016.04.007","volume":"53","author":"M Nabipour","year":"2016","unstructured":"Nabipour, M., Razaz, M., Seifossadat, S.G.H., Mortazavi, S.S.: A novel adaptive fuzzy membership function tuning algorithm for robust control of a PV-based dynamic voltage restorer (DVR). J. Eng. Appl. Artif. Intell. 53, 155\u2013175 (2016)","journal-title":"J. Eng. Appl. Artif. Intell."},{"issue":"6","key":"1265_CR25","doi-asserted-by":"publisher","first-page":"1123","DOI":"10.1109\/TFUZZ.2013.2244899","volume":"21","author":"Y Pan","year":"2013","unstructured":"Pan, Y., Er, M.J.: Enhanced adaptive fuzzy control with optimal approximation error convergence. IEEE Trans. Fuzzy Syst. 21(6), 1123\u20131132 (2013)","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"1265_CR26","doi-asserted-by":"crossref","unstructured":"Wang, J., Lu, S., Wang, S., Zhang, Y.:\u00a0A review on extreme learning machine. J. Multimedia Tools Appl. (2021)","DOI":"10.1007\/s11042-021-11007-7"},{"key":"1265_CR27","doi-asserted-by":"publisher","first-page":"2484","DOI":"10.1016\/j.egyr.2021.04.039","volume":"7","author":"L Liang","year":"2021","unstructured":"Liang, L., Duan, Z., Li, G., Zhu, H., Shi, Y., Cui, Q., Chen, B., Wensen, Hu.: Status evaluation method for arrays in large-scale photovoltaic power stations based on extreme learning machine and k-means. J. Energy Rep. 7, 2484\u20132492 (2021)","journal-title":"J. Energy Rep."},{"key":"1265_CR28","doi-asserted-by":"crossref","unstructured":"Teo, T.T., Logenthiran, T., Woo, W.L.: Forecasting of photovoltaic power using extreme learning machine. In: Proceedings of IEEE innovative smart grid technologies- Asia (ISGT ASIA), pp 1\u20136 (2015)","DOI":"10.1109\/ISGT-Asia.2015.7387113"},{"key":"1265_CR29","unstructured":"Prasad,\u00a0T.V., Lakra S., Ramakrishna, G.:  Applicability of crisp and fuzzy logic in intelligent response generation. In: Proceedings of national conference on information, computational technologies and e-governance, pp. 137\u2013139. Alwar, Rajasthan (2010)"},{"key":"1265_CR30","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s13201-020-01276-2","volume":"10","author":"S Kambalimath","year":"2020","unstructured":"Kambalimath, S., Deka, P.C.: A basic review of fuzzy logic applications in hydrology and water resources. J. Appl. Water Sci. 10, 191 (2020)","journal-title":"J. Appl. Water Sci."}],"container-title":["International Journal of Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-022-01265-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40815-022-01265-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40815-022-01265-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T07:53:34Z","timestamp":1667807614000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40815-022-01265-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,5]]},"references-count":30,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2022,11]]}},"alternative-id":["1265"],"URL":"https:\/\/doi.org\/10.1007\/s40815-022-01265-4","relation":{},"ISSN":["1562-2479","2199-3211"],"issn-type":[{"value":"1562-2479","type":"print"},{"value":"2199-3211","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,5]]},"assertion":[{"value":"21 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 November 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2022","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 September 2022","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest to publish this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}