{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T20:34:28Z","timestamp":1777581268198,"version":"3.51.4"},"reference-count":81,"publisher":"Springer Science and Business Media LLC","issue":"10","license":[{"start":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T00:00:00Z","timestamp":1738713600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T00:00:00Z","timestamp":1738713600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100009392","name":"Prince Sattam bin Abdulaziz University","doi-asserted-by":"publisher","award":["PSAU-2023-SDG-16"],"award-info":[{"award-number":["PSAU-2023-SDG-16"]}],"id":[{"id":"10.13039\/100009392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1007\/s00521-025-10982-4","type":"journal-article","created":{"date-parts":[[2025,2,5]],"date-time":"2025-02-05T15:08:47Z","timestamp":1738768127000},"page":"7397-7422","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Dynamic economic dispatch with uncertain wind power generation using an enhanced artificial hummingbird algorithm"],"prefix":"10.1007","volume":"37","author":[{"given":"Mohamed H.","family":"Hassan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5443-9711","authenticated-orcid":false,"given":"Ehab Mahmoud","family":"Mohamed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Salah","family":"Kamel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahdiyeh","family":"Eslami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,2,5]]},"reference":[{"key":"10982_CR1","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2022.107912","volume":"208","author":"MN Iqbal","year":"2022","unstructured":"Iqbal MN, Bhatti AR, Butt AD et al (2022) Solution of economic dispatch problem using hybrid multi-verse optimizer. Electr Power Syst Res 208:107912. https:\/\/doi.org\/10.1016\/j.epsr.2022.107912","journal-title":"Electr Power Syst Res"},{"key":"10982_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2022.200116","volume":"16","author":"S Basak","year":"2022","unstructured":"Basak S, Bhattacharyya B, Dey B (2022) Dynamic economic dispatch using hybrid CSAJAYA algorithm considering ramp rates and diverse wind profiles. Intell Syst Appl 16:200116. https:\/\/doi.org\/10.1016\/j.iswa.2022.200116","journal-title":"Intell Syst Appl"},{"key":"10982_CR3","doi-asserted-by":"publisher","first-page":"51","DOI":"10.51537\/chaos.1389409","volume":"6","author":"DM Ezekiel","year":"2024","unstructured":"Ezekiel DM, Samikannu R, Matsebe O (2024) Improved set-point tracking control of an unmanned aerodynamic MIMO system using hybrid neural networks. Chaos Theory Appl 6:51\u201362. https:\/\/doi.org\/10.51537\/chaos.1389409","journal-title":"Chaos Theory Appl"},{"key":"10982_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2023.109719","volume":"156","author":"MH Hassan","year":"2024","unstructured":"Hassan MH, Kamel S, Jurado F, Desideri U (2024) Global optimization of economic load dispatch in large scale power systems using an enhanced social network search algorithm. Int J Electr Power Energy Syst 156:109719. https:\/\/doi.org\/10.1016\/j.ijepes.2023.109719","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR5","doi-asserted-by":"publisher","first-page":"398","DOI":"10.1016\/j.energy.2018.11.034","volume":"169","author":"D Singh","year":"2019","unstructured":"Singh D, Dhillon JS (2019) Ameliorated grey wolf optimization for economic load dispatch problem. Energy 169:398\u2013419. https:\/\/doi.org\/10.1016\/j.energy.2018.11.034","journal-title":"Energy"},{"key":"10982_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.120054","volume":"223","author":"W Dai","year":"2021","unstructured":"Dai W, Yang Z, Yu J et al (2021) Economic dispatch of interconnected networks considering hidden flexibility. Energy 223:120054. https:\/\/doi.org\/10.1016\/j.energy.2021.120054","journal-title":"Energy"},{"key":"10982_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.119898","volume":"222","author":"K Wu","year":"2021","unstructured":"Wu K, Li Q, Chen Z et al (2021) Distributed optimization method with weighted gradients for economic dispatch problem of multi-microgrid systems. Energy 222:119898. https:\/\/doi.org\/10.1016\/j.energy.2021.119898","journal-title":"Energy"},{"key":"10982_CR8","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1016\/j.promfg.2016.12.074","volume":"7","author":"Y Sun","year":"2017","unstructured":"Sun Y, Wang Z (2017) Improved particle swarm optimization based dynamic economic dispatch of power system. Procedia Manuf 7:297\u2013302. https:\/\/doi.org\/10.1016\/j.promfg.2016.12.074","journal-title":"Procedia Manuf"},{"key":"10982_CR9","doi-asserted-by":"publisher","first-page":"1826","DOI":"10.1080\/15325008.2020.1731876","volume":"47","author":"M Ghasemi","year":"2019","unstructured":"Ghasemi M, Akbari E, Zand M et al (2019) An efficient modified HPSO-TVAC-based dynamic economic dispatch of generating units. Electr Power Comp Syst 47:1826\u20131840. https:\/\/doi.org\/10.1080\/15325008.2020.1731876","journal-title":"Electr Power Comp Syst"},{"key":"10982_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asej.2022.102083","volume":"14","author":"MH Hassan","year":"2023","unstructured":"Hassan MH, Kamel S, Eid A et al (2023) A developed eagle-strategy supply-demand optimizer for solving economic load dispatch problems. Ain Shams Eng J 14:102083. https:\/\/doi.org\/10.1016\/j.asej.2022.102083","journal-title":"Ain Shams Eng J"},{"key":"10982_CR11","doi-asserted-by":"publisher","first-page":"3210","DOI":"10.1109\/TII.2019.2908450","volume":"16","author":"X He","year":"2020","unstructured":"He X, Zhao Y, Huang T (2020) Optimizing the dynamic economic dispatch problem by the distributed consensus-based ADMM approach. IEEE Trans Industr Inform 16:3210\u20133221. https:\/\/doi.org\/10.1109\/TII.2019.2908450","journal-title":"IEEE Trans Industr Inform"},{"key":"10982_CR12","first-page":"139","volume":"35","author":"G Liu","year":"2011","unstructured":"Liu G, Peng C, Xiang L (2011) Economic-environmental dispatch using improved multi-objective particle swarm optimization. Power Syst Technol 35:139\u2013144","journal-title":"Power Syst Technol"},{"key":"10982_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2023.119406","volume":"219","author":"H Wei","year":"2023","unstructured":"Wei H, Wang W, Kao X (2023) A novel approach to hybrid dynamic environmental-economic dispatch of multi-energy complementary virtual power plant considering renewable energy generation uncertainty and demand response. Renew Energy 219:119406. https:\/\/doi.org\/10.1016\/j.renene.2023.119406","journal-title":"Renew Energy"},{"key":"10982_CR14","doi-asserted-by":"publisher","first-page":"1480","DOI":"10.1002\/etep.520","volume":"21","author":"S Ganjefar","year":"2011","unstructured":"Ganjefar S, Tofighi M (2011) Dynamic economic dispatch solution using an improved genetic algorithm with non-stationary penalty functions. Euro Trans Electr Power 21:1480\u20131492. https:\/\/doi.org\/10.1002\/etep.520","journal-title":"Euro Trans Electr Power"},{"key":"10982_CR15","doi-asserted-by":"publisher","first-page":"9553","DOI":"10.1109\/TNNLS.2023.3234049","volume":"35","author":"C Hu","year":"2024","unstructured":"Hu C, Wen G, Wang S et al (2024) Distributed multiagent reinforcement learning with action networks for dynamic economic dispatch. IEEE Trans Neural Netw Learn Syst 35:9553\u20139564. https:\/\/doi.org\/10.1109\/TNNLS.2023.3234049","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"10982_CR16","doi-asserted-by":"publisher","first-page":"1784","DOI":"10.1016\/j.epsr.2008.03.011","volume":"78","author":"AY Abdelaziz","year":"2008","unstructured":"Abdelaziz AY, Kamh MZ, Mekhamer SF, Badr MAL (2008) A hybrid HNN-QP approach for dynamic economic dispatch problem. Electric Power Syst Res 78:1784\u20131788. https:\/\/doi.org\/10.1016\/j.epsr.2008.03.011","journal-title":"Electric Power Syst Res"},{"key":"10982_CR17","doi-asserted-by":"publisher","first-page":"2972","DOI":"10.1109\/TIA.2021.3065895","volume":"57","author":"A Kalakova","year":"2021","unstructured":"Kalakova A, Nunna HSVSK, Jamwal PK, Doolla S (2021) A novel genetic algorithm based dynamic economic dispatch with short-term load forecasting. IEEE Trans Ind Appl 57:2972\u20132982. https:\/\/doi.org\/10.1109\/TIA.2021.3065895","journal-title":"IEEE Trans Ind Appl"},{"key":"10982_CR18","doi-asserted-by":"publisher","first-page":"46","DOI":"10.35833\/MPCE.2018.000889","volume":"9","author":"J Wang","year":"2021","unstructured":"Wang J, He X, Huang J, Chen G (2021) Recurrent neural network for nonconvex economic emission dispatch. J Mod Power Syst Clean Energy 9:46\u201355. https:\/\/doi.org\/10.35833\/MPCE.2018.000889","journal-title":"J Mod Power Syst Clean Energy"},{"key":"10982_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e33944","volume":"10","author":"M Li","year":"2024","unstructured":"Li M, Yang D, Xu Y, Ji T (2024) Hierarchical deep reinforcement learning for self-adaptive economic dispatch. Heliyon 10:e33944. https:\/\/doi.org\/10.1016\/j.heliyon.2024.e33944","journal-title":"Heliyon"},{"key":"10982_CR20","doi-asserted-by":"publisher","first-page":"1672","DOI":"10.1016\/j.jestch.2016.09.002","volume":"19","author":"WT Elsayed","year":"2016","unstructured":"Elsayed WT, Hegazy YG, Bendary FM, El-bages MS (2016) Modified social spider algorithm for solving the economic dispatch problem. Eng Sci Technol, Int J 19:1672\u20131681. https:\/\/doi.org\/10.1016\/j.jestch.2016.09.002","journal-title":"Eng Sci Technol, Int J"},{"key":"10982_CR21","doi-asserted-by":"publisher","first-page":"576","DOI":"10.3390\/su12020576","volume":"12","author":"K Mahmoud","year":"2020","unstructured":"Mahmoud K, Abdel-Nasser M, Mustafa E, Ali ZM (2020) Improved salp-swarm optimizer and accurate forecasting model for dynamic economic dispatch in sustainable power systems. Sustainability 12:576. https:\/\/doi.org\/10.3390\/su12020576","journal-title":"Sustainability"},{"key":"10982_CR22","doi-asserted-by":"publisher","DOI":"10.1002\/etep.2665","volume":"29","author":"B Dey","year":"2019","unstructured":"Dey B, Bhattacharyya B (2019) Dynamic cost analysis of a grid connected microgrid using neighborhood based differential evolution technique. Int Trans Electr Energy Syst 29:e2665. https:\/\/doi.org\/10.1002\/etep.2665","journal-title":"Int Trans Electr Energy Syst"},{"key":"10982_CR23","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1016\/j.energy.2017.06.102","volume":"135","author":"H Ma","year":"2017","unstructured":"Ma H, Yang Z, You P, Fei M (2017) Multi-objective biogeography-based optimization for dynamic economic emission load dispatch considering plug-in electric vehicles charging. Energy 135:101\u2013111. https:\/\/doi.org\/10.1016\/j.energy.2017.06.102","journal-title":"Energy"},{"key":"10982_CR24","doi-asserted-by":"publisher","first-page":"7015","DOI":"10.1016\/j.egyr.2021.10.067","volume":"7","author":"W Yang","year":"2021","unstructured":"Yang W, Peng Z, Yang Z et al (2021) An enhanced exploratory whale optimization algorithm for dynamic economic dispatch. Energy Rep 7:7015\u20137029. https:\/\/doi.org\/10.1016\/j.egyr.2021.10.067","journal-title":"Energy Rep"},{"key":"10982_CR25","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.asoc.2018.06.035","volume":"71","author":"M Kumar","year":"2018","unstructured":"Kumar M, Dhillon JS (2018) Hybrid artificial algae algorithm for economic load dispatch. Appl Soft Comput 71:89\u2013109. https:\/\/doi.org\/10.1016\/j.asoc.2018.06.035","journal-title":"Appl Soft Comput"},{"key":"10982_CR26","doi-asserted-by":"publisher","first-page":"1004","DOI":"10.1049\/iet-rpg.2017.0744","volume":"12","author":"VK Jadoun","year":"2018","unstructured":"Jadoun VK, Pandey VC, Gupta N et al (2018) Integration of renewable energy sources in dynamic economic load dispatch problem using an improved fireworks algorithm. IET Renew Power Gener 12:1004\u20131011. https:\/\/doi.org\/10.1049\/iet-rpg.2017.0744","journal-title":"IET Renew Power Gener"},{"key":"10982_CR27","doi-asserted-by":"publisher","first-page":"9785","DOI":"10.3390\/su14159785","volume":"14","author":"MH Hassan","year":"2022","unstructured":"Hassan MH, Kamel S, Dom\u00ednguez-Garc\u00eda JL, El-Naggar MF (2022) MSSA-DEED: a multi-objective salp swarm algorithm for solving dynamic economic emission dispatch problems. Sustainability 14:9785. https:\/\/doi.org\/10.3390\/su14159785","journal-title":"Sustainability"},{"key":"10982_CR28","doi-asserted-by":"publisher","DOI":"10.1063\/5.0028591","author":"B Mandal","year":"2021","unstructured":"Mandal B, Roy PK (2021) Dynamic economic dispatch problem in hybrid wind based power systems using oppositional based chaotic grasshopper optimization algorithm. J Renew Sustain Energy. https:\/\/doi.org\/10.1063\/5.0028591","journal-title":"J Renew Sustain Energy"},{"key":"10982_CR29","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1016\/j.energy.2018.05.180","volume":"157","author":"G Xiong","year":"2018","unstructured":"Xiong G, Shi D (2018) Hybrid biogeography-based optimization with brain storm optimization for non-convex dynamic economic dispatch with valve-point effects. Energy 157:424\u2013435. https:\/\/doi.org\/10.1016\/j.energy.2018.05.180","journal-title":"Energy"},{"key":"10982_CR30","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1016\/j.energy.2018.01.029","volume":"147","author":"D Zou","year":"2018","unstructured":"Zou D, Li S, Kong X et al (2018) Solving the dynamic economic dispatch by a memory-based global differential evolution and a repair technique of constraint handling. Energy 147:59\u201380. https:\/\/doi.org\/10.1016\/j.energy.2018.01.029","journal-title":"Energy"},{"key":"10982_CR31","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/j.rser.2013.08.092","volume":"29","author":"MM Rahman","year":"2014","unstructured":"Rahman MM, Mostafiz BS, Paatero JV, Lahdelma R (2014) Extension of energy crops on surplus agricultural lands: a potentially viable option in developing countries while fossil fuel reserves are diminishing. Renew Sustain Energy Rev 29:108\u2013119. https:\/\/doi.org\/10.1016\/j.rser.2013.08.092","journal-title":"Renew Sustain Energy Rev"},{"key":"10982_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2021.114194","volume":"388","author":"W Zhao","year":"2022","unstructured":"Zhao W, Wang L, Mirjalili S (2022) Artificial hummingbird algorithm: a new bio-inspired optimizer with its engineering applications. Comput Methods Appl Mech Eng 388:114194. https:\/\/doi.org\/10.1016\/j.cma.2021.114194","journal-title":"Comput Methods Appl Mech Eng"},{"key":"10982_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2023.116238","volume":"415","author":"G Hu","year":"2023","unstructured":"Hu G, Zhong J, Zhao C et al (2023) LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications. Comput Methods Appl Mech Eng 415:116238. https:\/\/doi.org\/10.1016\/j.cma.2023.116238","journal-title":"Comput Methods Appl Mech Eng"},{"key":"10982_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116516","volume":"195","author":"I Ahmadianfar","year":"2022","unstructured":"Ahmadianfar I, Heidari AA, Noshadian S et al (2022) INFO: An efficient optimization algorithm based on weighted mean of vectors. Expert Syst Appl 195:116516","journal-title":"Expert Syst Appl"},{"key":"10982_CR35","doi-asserted-by":"publisher","first-page":"73182","DOI":"10.1109\/ACCESS.2019.2918753","volume":"7","author":"W Zhao","year":"2019","unstructured":"Zhao W, Wang L, Zhang Z (2019) Supply-demand-based optimization: A novel economics-inspired algorithm for global optimization. IEEE Access 7:73182\u201373206","journal-title":"IEEE Access"},{"key":"10982_CR36","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46\u201361. https:\/\/doi.org\/10.1016\/j.advengsoft.2013.12.007","journal-title":"Adv Eng Softw"},{"key":"10982_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2024.142816","volume":"467","author":"D Yousri","year":"2024","unstructured":"Yousri D, Sukanya V, Farag HEZ et al (2024) Cost-effective one-time configuration for bridge-linked thermoelectric generator array using INFO optimizer. J Clean Prod 467:142816. https:\/\/doi.org\/10.1016\/j.jclepro.2024.142816","journal-title":"J Clean Prod"},{"key":"10982_CR38","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1007\/s10825-024-02204-2","volume":"23","author":"B Lekouaghet","year":"2024","unstructured":"Lekouaghet B, Khelifa MA, Boukabou A (2024) Precise parameter estimation of PEM fuel cell via weighted mean of vectors optimizer. J Comput Electron 23:1039\u20131048. https:\/\/doi.org\/10.1007\/s10825-024-02204-2","journal-title":"J Comput Electron"},{"key":"10982_CR39","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.3390\/pr10061072","volume":"10","author":"AY Hassan","year":"2022","unstructured":"Hassan AY, Ismaeel AAK, Said M et al (2022) Evaluation of weighted mean of vectors algorithm for identification of solar cell parameters. Processes 10:1072. https:\/\/doi.org\/10.3390\/pr10061072","journal-title":"Processes"},{"key":"10982_CR40","doi-asserted-by":"publisher","first-page":"13955","DOI":"10.1007\/s00521-023-08427-x","volume":"35","author":"M Farhat","year":"2023","unstructured":"Farhat M, Kamel S, Atallah AM et al (2023) Developing a strategy based on weighted mean of vectors (INFO) optimizer for optimal power flow considering uncertainty of renewable energy generation. Neural Comput Appl 35:13955\u201313981. https:\/\/doi.org\/10.1007\/s00521-023-08427-x","journal-title":"Neural Comput Appl"},{"key":"10982_CR41","doi-asserted-by":"publisher","first-page":"5772","DOI":"10.1016\/j.egyr.2021.08.188","volume":"7","author":"AR Ginidi","year":"2021","unstructured":"Ginidi AR, Shaheen AM, El-Sehiemy RA, Elattar E (2021) Supply demand optimization algorithm for parameter extraction of various solar cell models. Energy Rep 7:5772\u20135794. https:\/\/doi.org\/10.1016\/j.egyr.2021.08.188","journal-title":"Energy Rep"},{"key":"10982_CR42","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/s00521-017-3272-5","volume":"30","author":"H Faris","year":"2018","unstructured":"Faris H, Aljarah I, Al-Betar MA, Mirjalili S (2018) Grey wolf optimizer: a review of recent variants and applications. Neural Comput Appl 30:413\u2013435. https:\/\/doi.org\/10.1007\/s00521-017-3272-5","journal-title":"Neural Comput Appl"},{"key":"10982_CR43","doi-asserted-by":"publisher","first-page":"22991","DOI":"10.1109\/ACCESS.2023.3304889","volume":"12","author":"SN Makhadmeh","year":"2024","unstructured":"Makhadmeh SN, Al-Betar MA, Doush IA et al (2024) Recent advances in grey wolf optimizer, its versions and applications: review. IEEE Access 12:22991\u201323028. https:\/\/doi.org\/10.1109\/ACCESS.2023.3304889","journal-title":"IEEE Access"},{"key":"10982_CR44","doi-asserted-by":"publisher","DOI":"10.1002\/2050-7038.12966","author":"A Xia","year":"2021","unstructured":"Xia A, Wu X, Bai Y (2021) A new multi-objective hybrid optimization algorithm for wind-thermal dynamic economic emission power dispatch. Int Trans Electr Energy Syst. https:\/\/doi.org\/10.1002\/2050-7038.12966","journal-title":"Int Trans Electr Energy Syst"},{"key":"10982_CR45","doi-asserted-by":"publisher","first-page":"148622","DOI":"10.1109\/ACCESS.2020.3015473","volume":"8","author":"IU Khan","year":"2020","unstructured":"Khan IU, Javaid N, Gamage KAA et al (2020) Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources. IEEE Access 8:148622\u2013148643. https:\/\/doi.org\/10.1109\/ACCESS.2020.3015473","journal-title":"IEEE Access"},{"key":"10982_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.07.131","volume":"186","author":"X Shen","year":"2019","unstructured":"Shen X, Zou D, Duan N, Zhang Q (2019) An efficient fitness-based differential evolution algorithm and a constraint handling technique for dynamic economic emission dispatch. Energy 186:115801. https:\/\/doi.org\/10.1016\/j.energy.2019.07.131","journal-title":"Energy"},{"key":"10982_CR47","doi-asserted-by":"publisher","first-page":"122926","DOI":"10.1109\/ACCESS.2023.3328958","volume":"11","author":"MH Hassan","year":"2023","unstructured":"Hassan MH, Kamel S, Alateeq A et al (2023) Optimal power flow analysis with renewable energy resource uncertainty: a hybrid AEO-CGO approach. IEEE Access 11:122926\u2013122961. https:\/\/doi.org\/10.1109\/ACCESS.2023.3328958","journal-title":"IEEE Access"},{"key":"10982_CR48","doi-asserted-by":"publisher","DOI":"10.1049\/rpg2.12874","author":"MH Hassan","year":"2023","unstructured":"Hassan MH, Kamel S, Dom\u00ednguez-Garc\u00eda JL, Molu RJJ (2023) Integrating renewable energy and V2G uncertainty into optimal power flow: a gradient bald eagle search optimization algorithm with local escaping operator. IET Renew Power Gener. https:\/\/doi.org\/10.1049\/rpg2.12874","journal-title":"IET Renew Power Gener"},{"key":"10982_CR49","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.renene.2015.04.034","volume":"83","author":"HM Dubey","year":"2015","unstructured":"Dubey HM, Pandit M, Panigrahi BK (2015) Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch. Renew Energy 83:188\u2013202. https:\/\/doi.org\/10.1016\/j.renene.2015.04.034","journal-title":"Renew Energy"},{"key":"10982_CR50","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1080\/02533839.2019.1694446","volume":"43","author":"MK Sattar","year":"2020","unstructured":"Sattar MK, Ahmad A, Fayyaz S et al (2020) Ramp rate handling strategies in Dynamic economic load dispatch (DELD) problem using grey wolf optimizer (GWO). J Chin Inst Eng 43:200\u2013213. https:\/\/doi.org\/10.1080\/02533839.2019.1694446","journal-title":"J Chin Inst Eng"},{"key":"10982_CR51","doi-asserted-by":"publisher","first-page":"318","DOI":"10.3390\/electronics11030318","volume":"11","author":"A Ramadan","year":"2022","unstructured":"Ramadan A, Kamel S, Hassan MH et al (2022) Accurate photovoltaic models based on an adaptive opposition artificial hummingbird algorithm. Electronics (Basel) 11:318. https:\/\/doi.org\/10.3390\/electronics11030318","journal-title":"Electronics (Basel)"},{"key":"10982_CR52","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s11042-020-10467-7","volume":"80","author":"MK Naik","year":"2021","unstructured":"Naik MK, Panda R, Wunnava A et al (2021) A leader Harris hawks optimization for 2-D Masi entropy-based multilevel image thresholding. Multimed Tools Appl 80:1\u201341. https:\/\/doi.org\/10.1007\/s11042-020-10467-7","journal-title":"Multimed Tools Appl"},{"key":"10982_CR53","doi-asserted-by":"publisher","first-page":"14591","DOI":"10.1038\/s41598-023-41608-1","volume":"13","author":"F Daqaq","year":"2023","unstructured":"Daqaq F, Hassan MH, Kamel S, Hussien AG (2023) A leader supply-demand-based optimization for large scale optimal power flow problem considering renewable energy generations. Sci Rep 13:14591. https:\/\/doi.org\/10.1038\/s41598-023-41608-1","journal-title":"Sci Rep"},{"key":"10982_CR54","doi-asserted-by":"publisher","first-page":"135","DOI":"10.3390\/math7020135","volume":"7","author":"Y Wang","year":"2019","unstructured":"Wang Y, Wang P, Zhang J et al (2019) A novel bat algorithm with multiple strategies coupling for numerical optimization. Mathematics 7:135. https:\/\/doi.org\/10.3390\/math7020135","journal-title":"Mathematics"},{"key":"10982_CR55","doi-asserted-by":"publisher","first-page":"577","DOI":"10.1080\/15325000500360843","volume":"34","author":"CK Panigrahi","year":"2006","unstructured":"Panigrahi CK, Chattopadhyay PK, Chakrabarti RN, Basu M (2006) Simulated annealing technique for dynamic economic dispatch. Electr Power Comp Syst 34:577\u2013586. https:\/\/doi.org\/10.1080\/15325000500360843","journal-title":"Electr Power Comp Syst"},{"key":"10982_CR56","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1016\/j.ijepes.2010.12.017","volume":"33","author":"S Hemamalini","year":"2011","unstructured":"Hemamalini S, Simon SP (2011) Dynamic economic dispatch using artificial immune system for units with valve-point effect. Int J Electr Power Energy Syst 33:868\u2013874. https:\/\/doi.org\/10.1016\/j.ijepes.2010.12.017","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR57","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1002\/etep.413","volume":"21","author":"S Hemamalini","year":"2011","unstructured":"Hemamalini S, Simon SP (2011) Dynamic economic dispatch using artificial bee colony algorithm for units with valve-point effect. Euro Trans Electr Power 21:70\u201381. https:\/\/doi.org\/10.1002\/etep.413","journal-title":"Euro Trans Electr Power"},{"key":"10982_CR58","doi-asserted-by":"publisher","first-page":"8509","DOI":"10.1016\/j.eswa.2011.01.050","volume":"38","author":"V Ravikumar Pandi","year":"2011","unstructured":"Ravikumar Pandi V, Panigrahi BK (2011) Dynamic economic load dispatch using hybrid swarm intelligence based harmony search algorithm. Expert Syst Appl 38:8509\u20138514. https:\/\/doi.org\/10.1016\/j.eswa.2011.01.050","journal-title":"Expert Syst Appl"},{"key":"10982_CR59","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/j.enconman.2011.12.004","volume":"56","author":"B Mohammadi-ivatloo","year":"2012","unstructured":"Mohammadi-ivatloo B, Rabiee A, Ehsan M (2012) Time-varying acceleration coefficients IPSO for solving dynamic economic dispatch with non-smooth cost function. Energy Convers Manag 56:175\u2013183. https:\/\/doi.org\/10.1016\/j.enconman.2011.12.004","journal-title":"Energy Convers Manag"},{"key":"10982_CR60","doi-asserted-by":"publisher","first-page":"424","DOI":"10.1049\/iet-gtd.2011.0219","volume":"6","author":"T Niknam","year":"2012","unstructured":"Niknam T, Golestaneh F (2012) Enhanced adaptive particle swarm optimisation algorithm for dynamic economic dispatch of units considering valve-point effects and ramp rates. IET Gener Transm Distrib 6:424\u2013435","journal-title":"IET Gener Transm Distrib"},{"key":"10982_CR61","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1016\/j.enconman.2007.12.023","volume":"49","author":"BK Panigrahi","year":"2008","unstructured":"Panigrahi BK, Ravikumar Pandi V, Das S (2008) Adaptive particle swarm optimization approach for static and dynamic economic load dispatch. Energy Convers Manag 49:1407\u20131415. https:\/\/doi.org\/10.1016\/j.enconman.2007.12.023","journal-title":"Energy Convers Manag"},{"key":"10982_CR62","doi-asserted-by":"publisher","first-page":"828","DOI":"10.1080\/15325000801911427","volume":"36","author":"R Balamurugan","year":"2008","unstructured":"Balamurugan R, Subramanian S (2008) Differential evolution-based dynamic economic dispatch of generating units with valve-point effects. Electric Power Compon Syst 36:828\u2013843","journal-title":"Electric Power Compon Syst"},{"key":"10982_CR63","doi-asserted-by":"publisher","first-page":"2212","DOI":"10.1016\/j.enconman.2010.03.015","volume":"51","author":"S Hemamalini","year":"2010","unstructured":"Hemamalini S, Simon SP (2010) Dynamic economic dispatch using Maclaurin series based Lagrangian method. Energy Convers Manag 51:2212\u20132219","journal-title":"Energy Convers Manag"},{"key":"10982_CR64","doi-asserted-by":"publisher","first-page":"2062","DOI":"10.1016\/j.enconman.2010.02.039","volume":"51","author":"JS Alsumait","year":"2010","unstructured":"Alsumait JS, Qasem M, Sykulski JK, Al-Othman AK (2010) An improved pattern search based algorithm to solve the dynamic economic dispatch problem with valve-point effect. Energy Convers Manag 51:2062\u20132067","journal-title":"Energy Convers Manag"},{"key":"10982_CR65","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1080\/03052150902738768","volume":"41","author":"PS Manoharan","year":"2009","unstructured":"Manoharan PS, Kannan PS, Baskar S et al (2009) Covariance matrix adapted evolution strategy algorithm-based solution to dynamic economic dispatch problems. Eng Optim 41:635\u2013657","journal-title":"Eng Optim"},{"key":"10982_CR66","doi-asserted-by":"publisher","first-page":"805","DOI":"10.1080\/0952813X.2019.1673488","volume":"32","author":"Z Zheng","year":"2020","unstructured":"Zheng Z, Li J, Han Y (2020) An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects. J Exp Theor Artif Intell 32:805\u2013829. https:\/\/doi.org\/10.1080\/0952813X.2019.1673488","journal-title":"J Exp Theor Artif Intell"},{"key":"10982_CR67","doi-asserted-by":"publisher","first-page":"594","DOI":"10.1016\/j.ijepes.2005.06.006","volume":"27","author":"TAA Victoire","year":"2005","unstructured":"Victoire TAA, Jeyakumar AE (2005) A modified hybrid EP\u2013SQP approach for dynamic dispatch with valve-point effect. Int J Electr Power Energy Syst 27:594\u2013601","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR68","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.energy.2008.09.010","volume":"34","author":"X Yuan","year":"2009","unstructured":"Yuan X, Su A, Yuan Y et al (2009) An improved PSO for dynamic load dispatch of generators with valve-point effects. Energy 34:67\u201374","journal-title":"Energy"},{"key":"10982_CR69","first-page":"14231","volume":"38","author":"Y Wang","year":"2011","unstructured":"Wang Y, Zhou J, Lu Y et al (2011) Chaotic self-adaptive particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Expert Syst Appl 38:14231\u201314237","journal-title":"Expert Syst Appl"},{"key":"10982_CR70","doi-asserted-by":"publisher","first-page":"2893","DOI":"10.1016\/j.enconman.2010.06.029","volume":"51","author":"Y Wang","year":"2010","unstructured":"Wang Y, Zhou J, Qin H, Lu Y (2010) Improved chaotic particle swarm optimization algorithm for dynamic economic dispatch problem with valve-point effects. Energy Convers Manag 51:2893\u20132900","journal-title":"Energy Convers Manag"},{"key":"10982_CR71","doi-asserted-by":"publisher","first-page":"3447","DOI":"10.1016\/j.enconman.2008.08.016","volume":"49","author":"X Yuan","year":"2008","unstructured":"Yuan X, Wang L, Yuan Y et al (2008) A modified differential evolution approach for dynamic economic dispatch with valve-point effects. Energy Convers Manag 49:3447\u20133453","journal-title":"Energy Convers Manag"},{"key":"10982_CR72","doi-asserted-by":"publisher","first-page":"1026","DOI":"10.1016\/j.enconman.2010.08.031","volume":"52","author":"D He","year":"2011","unstructured":"He D, Dong G, Wang F, Mao Z (2011) Optimization of dynamic economic dispatch with valve-point effect using chaotic sequence based differential evolution algorithms. Energy Convers Manag 52:1026\u20131032","journal-title":"Energy Convers Manag"},{"key":"10982_CR73","doi-asserted-by":"publisher","first-page":"414","DOI":"10.1016\/j.ijepes.2013.01.013","volume":"49","author":"R Azizipanah-Abarghooee","year":"2013","unstructured":"Azizipanah-Abarghooee R (2013) A new hybrid bacterial foraging and simplified swarm optimization algorithm for practical optimal dynamic load dispatch. Int J Electr Power Energy Syst 49:414\u2013429","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR74","doi-asserted-by":"publisher","first-page":"5031","DOI":"10.1016\/j.energy.2010.08.018","volume":"35","author":"S Sivasubramani","year":"2010","unstructured":"Sivasubramani S, Swarup KS (2010) Hybrid SOA\u2013SQP algorithm for dynamic economic dispatch with valve-point effects. Energy 35:5031\u20135036","journal-title":"Energy"},{"key":"10982_CR75","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1016\/j.energy.2012.06.034","volume":"44","author":"B Mohammadi-Ivatloo","year":"2012","unstructured":"Mohammadi-Ivatloo B, Rabiee A, Soroudi A, Ehsan M (2012) Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch. Energy 44:228\u2013240","journal-title":"Energy"},{"key":"10982_CR76","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1016\/j.ijepes.2012.10.069","volume":"47","author":"J Aghaei","year":"2013","unstructured":"Aghaei J, Niknam T, Azizipanah-Abarghooee R, Arroyo JM (2013) Scenario-based dynamic economic emission dispatch considering load and wind power uncertainties. Int J Electr Power Energy Syst 47:351\u2013367","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR77","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1109\/TPWRS.2012.2208273","volume":"28","author":"T Niknam","year":"2012","unstructured":"Niknam T, Azizipanah-Abarghooee R, Aghaei J (2012) A new modified teaching-learning algorithm for reserve constrained dynamic economic dispatch. IEEE Trans Power Syst 28:749\u2013763","journal-title":"IEEE Trans Power Syst"},{"key":"10982_CR78","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1016\/j.ijepes.2011.09.003","volume":"34","author":"AY Saber","year":"2012","unstructured":"Saber AY (2012) Economic dispatch using particle swarm optimization with bacterial foraging effect. Int J Electr Power Energy Syst 34:38\u201346","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR79","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1016\/j.ijepes.2012.08.026","volume":"44","author":"M Basu","year":"2013","unstructured":"Basu M (2013) Hybridization of bee colony optimization and sequential quadratic programming for dynamic economic dispatch. Int J Electr Power Energy Syst 44:591\u2013596","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR80","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.ijepes.2013.02.017","volume":"50","author":"R Arul","year":"2013","unstructured":"Arul R, Ravi G, Velusami S (2013) Chaotic self-adaptive differential harmony search algorithm based dynamic economic dispatch. Int J Electr Power Energy Syst 50:85\u201396","journal-title":"Int J Electr Power Energy Syst"},{"key":"10982_CR81","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.energy.2013.01.004","volume":"52","author":"B Bahmani-Firouzi","year":"2013","unstructured":"Bahmani-Firouzi B, Farjah E, Seifi A (2013) A new algorithm for combined heat and power dynamic economic dispatch considering valve-point effects. Energy 52:320\u2013332","journal-title":"Energy"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-10982-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00521-025-10982-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-025-10982-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,21]],"date-time":"2025-03-21T20:42:39Z","timestamp":1742589759000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00521-025-10982-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,5]]},"references-count":81,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2025,4]]}},"alternative-id":["10982"],"URL":"https:\/\/doi.org\/10.1007\/s00521-025-10982-4","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,5]]},"assertion":[{"value":"20 April 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 February 2025","order":3,"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 no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"During the preparation of this work, the authors used ChatGPT, QuillBot, Blackbox, and Elicit to improve language and readability. After using these tools, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declaration of generative AI and AI-assisted technologies in the writing process"}}]}}