{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:53:17Z","timestamp":1770749597170,"version":"3.50.0"},"reference-count":36,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T00:00:00Z","timestamp":1442966400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2015,9,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    Optimal operation management of distribution systems requires suitable tools for accurate forecasting. By the appearance of new technologies such as electric vehicles, renewable sources, etc, the variation of the electrical loads is intensified. In order to solve this issue, a new powerful forecast method based on support vector regression (SVR) is proposed to model the behavior of load consumption. According to the high complexity and severity of the problem, a new optimization approach based on firefly algorithm (FA) is proposed to adjust the optimal parameters of the SVR. The new version of FA called\n                    <jats:italic>\u03b8<\/jats:italic>\n                    -FA is used to search the solutions in the polar space instead of the traditional Cartesian space. The objective function is to minimize the average forecast error considering the SVR constraints. The feasibility and high performance of the proposed method are examined on practical test data.\n                  <\/jats:p>","DOI":"10.3233\/ifs-141575","type":"journal-article","created":{"date-parts":[[2015,10,6]],"date-time":"2015-10-06T12:00:56Z","timestamp":1444132856000},"page":"119-125","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Short term load forecasting in power systems using a hybrid approach based on SVR technique"],"prefix":"10.1177","volume":"29","author":[{"given":"Reza","family":"Khorram-Nia","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran"}]},{"given":"Soroosh","family":"Karimi-Khorami","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Safashahr Branch, Islamic Azad University, Safashahr, Iran"}]}],"member":"179","published-online":{"date-parts":[[2015,9,23]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.trb.2012.09.007"},{"key":"e_1_3_1_3_2","unstructured":"KalhammerFRKamathHDuvallMAlexanderMJungersB2009Plug-in hybrid electric vehicles: Promise issues and prospects. EVS24 International Battery Hybrid and Fuel Cell Electric Vehicle Symposium Stavanger Norway"},{"key":"e_1_3_1_4_2","first-page":"1","article-title":"A new fuzzy based combined prediction interval for wind power forecasting","author":"Kavousi-Fard A","year":"2015","unstructured":"Kavousi-FardAKhosraviANahavadiS2015A new fuzzy based combined prediction interval for wind power forecastingIEEE Trans Power System19In Press","journal-title":"IEEE Trans Power System"},{"issue":"1","key":"e_1_3_1_5_2","first-page":"397","article-title":"An Enhanced hybrid particle swarm optimization and simulated annealing for practical economic dispatch","volume":"30","author":"Niknam T","year":"2012","unstructured":"NiknamTAzizipanah-AbarghooeeRSedaghatiRKavousi-FardA2012An Enhanced hybrid particle swarm optimization and simulated annealing for practical economic dispatchEnergy Education Science and Technology Part A: Energy Science and Research301397408","journal-title":"Energy Education Science and Technology Part A: Energy Science and Research"},{"key":"e_1_3_1_6_2","article-title":"Effect of wind turbine on the economic load dispatch problem considering the wind speed Uncertainty","author":"Kavousi-Fard A","year":"2014","unstructured":"Kavousi-FardAAkbari-ZadehMRKavousi-FardFRostamiMA2014Effect of wind turbine on the economic load dispatch problem considering the wind speed UncertaintyJournal of Intelligent and Fuzzy Systems","journal-title":"Journal of Intelligent and Fuzzy Systems"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-130949"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2014.066973"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2013.03.026"},{"key":"e_1_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.4236\/jilsa.2013.52010"},{"key":"e_1_3_1_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRD.2013.2292951"},{"key":"e_1_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSEE.2014.00104"},{"key":"e_1_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIA.2009.2023571"},{"key":"e_1_3_1_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2006.889130"},{"key":"e_1_3_1_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2003.811010"},{"key":"e_1_3_1_16_2","doi-asserted-by":"publisher","DOI":"10.1080\/0952813X.2013.782350"},{"key":"e_1_3_1_17_2","doi-asserted-by":"publisher","DOI":"10.1080\/0952813X.2013.782351"},{"key":"e_1_3_1_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2012.2184308"},{"key":"e_1_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1109\/59.466492"},{"key":"e_1_3_1_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2008.922249"},{"key":"e_1_3_1_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.03.053"},{"key":"e_1_3_1_22_2","unstructured":"ChapelleOVapnikV2001Choosing multiple parameters for support vectors machinesNew YorkAT&T Research Labs"},{"key":"e_1_3_1_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2008.08.031"},{"key":"e_1_3_1_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.omega.2004.07.024"},{"key":"e_1_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2005.02.025"},{"key":"e_1_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2003.11.009"},{"key":"e_1_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11269-006-9026-2"},{"key":"e_1_3_1_28_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2005.01.006"},{"key":"e_1_3_1_29_2","doi-asserted-by":"publisher","DOI":"10.1504\/IJBIC.2010.032124"},{"key":"e_1_3_1_30_2","unstructured":"Fars Electrical Power Company: http:\/\/www.frec.co.ir"},{"key":"e_1_3_1_31_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2010.08.081"},{"key":"e_1_3_1_32_2","doi-asserted-by":"publisher","DOI":"10.1080\/15325008.2013.816981"},{"key":"e_1_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2012.08.033"},{"key":"e_1_3_1_34_2","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2012.2208273"},{"key":"e_1_3_1_35_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-130850"},{"key":"e_1_3_1_36_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rpg.2011.0256"},{"key":"e_1_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2013.08.060"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-141575","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/IFS-141575","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-141575","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T08:51:38Z","timestamp":1770713498000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-141575"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,23]]},"references-count":36,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,9,23]]}},"alternative-id":["10.3233\/IFS-141575"],"URL":"https:\/\/doi.org\/10.3233\/ifs-141575","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9,23]]}}}