{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T13:58:58Z","timestamp":1770904738223,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2014,8,3]],"date-time":"2014-08-03T00:00:00Z","timestamp":1407024000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1007\/s00521-014-1685-y","type":"journal-article","created":{"date-parts":[[2014,8,2]],"date-time":"2014-08-02T08:58:10Z","timestamp":1406969890000},"page":"1967-1978","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":54,"title":["An efficient model based on artificial bee colony optimization algorithm with Neural Networks for electric load forecasting"],"prefix":"10.1007","volume":"25","author":[{"given":"Shahid M.","family":"Awan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad","family":"Aslam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zubair A.","family":"Khan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hassan","family":"Saeed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2014,8,3]]},"reference":[{"issue":"1","key":"1685_CR1","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.ijepes.2012.09.002","volume":"45","author":"Rahmat-Allah Hooshmand","year":"2013","unstructured":"Hooshmand Rahmat-Allah, Amooshahi Habib, Parastegari Moein (2013) A hybrid intelligent algorithm based short-term load forecasting approach. Int J Electr Power Energy Syst 45(1):313\u2013324","journal-title":"Int J Electr Power Energy Syst"},{"issue":"1","key":"1685_CR2","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1080\/00207720110067421","volume":"33","author":"Hesham K Alfares","year":"2002","unstructured":"Alfares Hesham K, Nazeeruddin Mohammad (2002) Electric load forecasting: literature survey and classification of methods. Int J Syst Sci 33(1):23\u201334","journal-title":"Int J Syst Sci"},{"issue":"1","key":"1685_CR3","doi-asserted-by":"crossref","first-page":"20","DOI":"10.1109\/TPWRS.2010.2048585","volume":"26","author":"Madasu Hanmandlu","year":"2011","unstructured":"Hanmandlu Madasu, Chauhan Bhavesh Kumar (2011) Load forecasting using hybrid models. IEEE Trans Power Syst 26(1):20\u201329","journal-title":"IEEE Trans Power Syst"},{"issue":"3","key":"1685_CR4","doi-asserted-by":"crossref","first-page":"902","DOI":"10.1016\/j.ejor.2009.01.062","volume":"199","author":"H Hahn","year":"2009","unstructured":"Hahn H, Meyer-Nieberg S, Pickl S (2009) Electric load forecasting methods: tools for decision making. Eur J Oper Res 199(3):902\u2013907","journal-title":"Eur J Oper Res"},{"issue":"2","key":"1685_CR5","doi-asserted-by":"crossref","first-page":"1223","DOI":"10.1016\/j.rser.2011.08.014","volume":"16","author":"L Suganthi","year":"2012","unstructured":"Suganthi L, Samuel AA (2012) Energy models for demand forecasting\u2014a review. Renew Sustain Energy Rev 16(2):1223\u20131240","journal-title":"Renew Sustain Energy Rev"},{"key":"1685_CR6","doi-asserted-by":"crossref","first-page":"1961","DOI":"10.1007\/s00521-011-0599-1","volume":"21","author":"M Sheikhan","year":"2012","unstructured":"Sheikhan M, Mohammadi N (2012) Neural-based electricity load forecasting using hybrid of ga and aco for feature selection. Neural Comput Appl 21:1961\u20131970","journal-title":"Neural Comput Appl"},{"key":"1685_CR7","volume-title":"Pract Methods Optim","author":"R Fletcher","year":"1987","unstructured":"Fletcher R (1987) Pract Methods Optim, 2nd edn. Wiley-Interscience, New York, NY, USA","edition":"2"},{"issue":"3","key":"1685_CR8","doi-asserted-by":"crossref","first-page":"459","DOI":"10.1007\/s10898-007-9149-x","volume":"39","author":"Dervis Karaboga","year":"2007","unstructured":"Karaboga Dervis, Basturk Bahriye (2007) A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J Glob Optim 39(3):459\u2013471","journal-title":"J Glob Optim"},{"key":"1685_CR9","doi-asserted-by":"crossref","unstructured":"Kennedy J, Eberhart R (1995) Particle swarm optimization. In: Proceeding of the IEEE international Conference on neural networks, volume 4, p 1942\u20131948","DOI":"10.1109\/ICNN.1995.488968"},{"key":"1685_CR10","doi-asserted-by":"crossref","unstructured":"Holland John H (1992) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press","DOI":"10.7551\/mitpress\/1090.001.0001"},{"issue":"2","key":"1685_CR11","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1109\/TPWRS.2003.811010","volume":"18","author":"S-J Huang","year":"2003","unstructured":"Huang S-J, Shih K-R (2003) Short-term load forecasting via ARMA model identification including non-gaussian process considerations. IEEE Trans Power Syst 18(2):673\u2013679","journal-title":"IEEE Trans Power Syst"},{"issue":"2","key":"1685_CR12","first-page":"596","volume":"27","author":"Y-M Wi","year":"2012","unstructured":"Wi Y-M, Joo S-K, Song K-B (2012) Holiday load forecasting using fuzzy polynomial regression with weather feature selection and adjustment. IEEE Trans Power Syst 27(2):596\u2013603","journal-title":"IEEE Trans Power Syst"},{"issue":"1","key":"1685_CR13","doi-asserted-by":"crossref","first-page":"458","DOI":"10.1109\/TPWRS.2011.2161780","volume":"27","author":"JW Taylor","year":"2012","unstructured":"Taylor JW (2012) Short-term load forecasting with exponentially weighted methods. IEEE Trans Power Syst 27(1):458\u2013464","journal-title":"IEEE Trans Power Syst"},{"issue":"3","key":"1685_CR14","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1109\/59.708572","volume":"13","author":"W Charytoniuk","year":"1998","unstructured":"Charytoniuk W, Chen MS, Van Olinda P (1998) Nonparametric regression based short-term load forecasting. IEEE Trans Power Syst 13(3):725\u2013730","journal-title":"IEEE Trans Power Syst"},{"issue":"9","key":"1685_CR15","doi-asserted-by":"crossref","first-page":"1423","DOI":"10.1109\/5.784219","volume":"87","author":"X Yao","year":"1999","unstructured":"Yao X (1999) Evolving artificial neural networks. IEEE Proc 87(9):1423\u20131447","journal-title":"IEEE Proc"},{"key":"1685_CR16","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"VN Vapnik","year":"1995","unstructured":"Vapnik VN (1995) The nature of statistical learning theory. Springer, New York"},{"issue":"3","key":"1685_CR17","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1023\/B:STCO.0000035301.49549.88","volume":"14","author":"AJ Smola","year":"2004","unstructured":"Smola AJ, Sch\u00f6lkopf B (2004) A tutorial on support vector regression. Stat Comput 14(3):199\u2013222","journal-title":"Stat Comput"},{"key":"1685_CR18","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.rser.2014.01.069","volume":"33","author":"AS Ahmad","year":"2014","unstructured":"Ahmad AS, Hassan MY, Abdullah MP, Rahman HA, Hussin F, Abdullah H, Saidur R (2014) A review on applications of ANN and SVM for building electrical energy consumption forecasting. Renew Sustain Energy Rev 33:102\u2013109","journal-title":"Renew Sustain Energy Rev"},{"key":"1685_CR19","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"CM Bishop","year":"1995","unstructured":"Bishop CM (1995) Neural networks for pattern recognition. Oxford University Press, Oxford"},{"issue":"4","key":"1685_CR20","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1016\/j.rser.2010.12.008","volume":"15","author":"R Ba\u00f1os","year":"2011","unstructured":"Ba\u00f1os R, Manzano-Agugliaro F, Montoya FG, Gil C, Alcayde A, G\u00f3mez J (2011) Optimization methods applied to renewable and sustainable energy: a review. Renew Sustain Energy Rev 15(4):1753\u20131766","journal-title":"Renew Sustain Energy Rev"},{"issue":"10","key":"1685_CR21","doi-asserted-by":"crossref","first-page":"5830","DOI":"10.1016\/j.enpol.2010.05.033","volume":"38","author":"Wei-Chiang Hong","year":"2010","unstructured":"Hong Wei-Chiang (2010) Application of chaotic ant swarm optimization in electric load forecasting. Energy Policy 38(10):5830\u20135839","journal-title":"Energy Policy"},{"issue":"1","key":"1685_CR22","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1016\/j.ijepes.2012.08.010","volume":"44","author":"Wei-Chiang Hong","year":"2013","unstructured":"Hong Wei-Chiang, Dong Yucheng (2013) Cyclic electric load forecasting by seasonal svr with chaotic genetic algorithm. Int J Electr Power Energy Syst 44(1):604\u2013614","journal-title":"Int J Electr Power Energy Syst"},{"key":"1685_CR23","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/j.apenergy.2012.01.010","volume":"94","author":"Jianjun Wang","year":"2012","unstructured":"Wang Jianjun, Li Li, Niu Dongxiao, Tan Zhongfu (2012) An annual load forecasting model based on support vector regression with differential evolution algorithm. Appl Energy 94:65\u201370","journal-title":"Appl Energy"},{"key":"1685_CR24","doi-asserted-by":"crossref","first-page":"434","DOI":"10.1016\/j.energy.2014.05.065","volume":"72","author":"S Bahrami","year":"2014","unstructured":"Bahrami S, Hooshmand R-A, Parastegari M (2014) Short term electric load forecasting by wavelet transform and grey model improved by PSO (particle swarm optimization) algorithm. Energy\u00a072:434\u2013442","journal-title":"Energy"},{"key":"1685_CR25","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.asoc.2013.12.001","volume":"16","author":"A Selakov","year":"2014","unstructured":"Selakov A, Cvijetinovi\u0107 D, Milovi\u0107 L, Mellon S, Bekut D (2014) Hybrid pso-svm method for short-term load forecasting during periods with significant temperature variations in city of burbank. Appl Soft Comput 16:80\u201388","journal-title":"Appl Soft Comput"},{"key":"1685_CR26","doi-asserted-by":"crossref","unstructured":"Li H, Liu K, Li X (2010) A comparative study of artificial bee colony, bees algorithms and differential evolution on numerical benchmark problems. In: Cai Z, Tong H, Kang Z, Liu Y (eds) Computational intelligence and intelligent systems. Communications in computer and information science, vol 107. Springer, Berlin, pp 198\u2013207","DOI":"10.1007\/978-3-642-16388-3_22"},{"issue":"1","key":"1685_CR27","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.amc.2009.03.090","volume":"214","author":"D Karaboga","year":"2009","unstructured":"Karaboga D, Akay B (2009) A comparative study of artificial bee colony algorithm. Appl Math Comput 214(1):108\u2013132","journal-title":"Appl Math Comput"},{"issue":"1","key":"1685_CR28","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.ins.2011.09.005","volume":"182","author":"Mohammed El-Abd","year":"2012","unstructured":"El-Abd Mohammed (2012) Performance assessment of foraging algorithms vs. evolutionary algorithms. Inf Sci 182(1):243\u2013263","journal-title":"Inf Sci"},{"issue":"1","key":"1685_CR29","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/s10462-012-9328-0","volume":"42","author":"D Karaboga","year":"2014","unstructured":"Karaboga D, Gorkemli B, Ozturk C, Karaboga N (2014) A comprehensive survey: artificial bee colony (abc) algorithm and applications. Artif Intell Rev \u00a042(1):21\u201357","journal-title":"Artif Intell Rev"},{"key":"1685_CR30","doi-asserted-by":"crossref","unstructured":"Awan SM, Khan ZA, Aslam M, Mahmood W, Ahsan A (2012) Application of narx based ffnn, svr and ann fitting models for long term industrial load forecasting and their comparison. In: IEEE international symposium on industrial electronics (ISIE), 2012, p 803\u2013807","DOI":"10.1109\/ISIE.2012.6237191"},{"key":"1685_CR31","unstructured":"Haykin S (1999) Neural Networks: a comprehensive foundation. Prentice Hall International Editions Series, Prentice Hall"},{"issue":"1","key":"1685_CR32","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1016\/j.asoc.2009.12.025","volume":"11","author":"Dervis Karaboga","year":"2011","unstructured":"Karaboga Dervis, Ozturk Celal (2011) A novel clustering approach: artificial bee colony (ABC) algorithm. Appl Soft Comput 11(1):652\u2013657","journal-title":"Appl Soft Comput"},{"key":"1685_CR33","doi-asserted-by":"crossref","unstructured":"Shi Yuhui, Eberhart Russell C (1998) Parameter selection in particle swarm optimization. In: Evolutionary Programming VII, volume 1447 Lecture Notes in Computer Science. Springer, Heidelberg, pp 591\u2013600","DOI":"10.1007\/BFb0040810"},{"key":"1685_CR34","volume-title":"Genetic algorithms in search, optimization and machine learning","author":"David E Goldberg","year":"1989","unstructured":"Goldberg David E (1989) Genetic algorithms in search, optimization and machine learning, 1st edn. Addison-Wesley Longman Publishing Co., Inc, Boston","edition":"1"},{"key":"1685_CR35","volume-title":"Programming neural networks with Encog 2 in Java","author":"J Heaton","year":"2010","unstructured":"Heaton J (2010) Programming neural networks with Encog 2 in Java. Heaton Research Inc, Chesterfield"},{"key":"1685_CR36","doi-asserted-by":"crossref","DOI":"10.1002\/9780470225868","volume-title":"Modern heuristic optimization techniques: theory and applications to power systems","author":"Kwang Y Lee","year":"2008","unstructured":"Lee Kwang Y, El-Sharkawi Mohamed A (2008) Modern heuristic optimization techniques: theory and applications to power systems, vol 39. Wiley, New York"},{"issue":"1","key":"1685_CR37","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1198\/073500102753410444","volume":"20","author":"FX Diebold","year":"2002","unstructured":"Diebold FX, Mariano RS (2002) Comparing predictive accuracy. J Bus Econ Stat 20(1):134\u2013144","journal-title":"J Bus Econ Stat"},{"issue":"3","key":"1685_CR38","first-page":"863","volume":"38","author":"Wei-Mou Hung","year":"2009","unstructured":"Hung Wei-Mou, Hong Wei-Chiang (2009) Application of svr with improved ant colony optimization algorithms in exchange rate forecasting. Control Cybern 38(3):863\u2013891","journal-title":"Control Cybern"},{"issue":"9","key":"1685_CR39","doi-asserted-by":"crossref","first-page":"5568","DOI":"10.1016\/j.energy.2011.07.015","volume":"36","author":"Wei-Chiang Hong","year":"2011","unstructured":"Hong Wei-Chiang (2011) Electric load forecasting by seasonal recurrent svr (support vector regression) with chaotic artificial bee colony algorithm. Energy 36(9):5568\u20135578","journal-title":"Energy"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1685-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-014-1685-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-014-1685-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,31]],"date-time":"2024-05-31T20:52:29Z","timestamp":1717188749000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-014-1685-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,8,3]]},"references-count":39,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2014,12]]}},"alternative-id":["1685"],"URL":"https:\/\/doi.org\/10.1007\/s00521-014-1685-y","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,8,3]]}}}