{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T11:30:04Z","timestamp":1772191804254,"version":"3.50.1"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319712727","type":"print"},{"value":"9783319712734","type":"electronic"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-71273-4_4","type":"book-chapter","created":{"date-parts":[[2017,12,29]],"date-time":"2017-12-29T09:12:26Z","timestamp":1514538746000},"page":"39-51","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Boosting Based Multiple Kernel Learning and Transfer Regression for Electricity Load Forecasting"],"prefix":"10.1007","author":[{"given":"Di","family":"Wu","sequence":"first","affiliation":[]},{"given":"Boyu","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Doina","family":"Precup","sequence":"additional","affiliation":[]},{"given":"Benoit","family":"Boulet","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,12,30]]},"reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Atsawathawichok, P., Teekaput, P., Ploysuwan, T.: Long term peak load forecasting in Thailand using multiple kernel Gaussian process. In: ECTI-CON, pp. 1\u20134 (2014)","DOI":"10.1109\/ECTICon.2014.6839869"},{"key":"4_CR2","doi-asserted-by":"crossref","unstructured":"Bach, F.R., Lanckriet, G.R., Jordan, M.I.: Multiple kernel learning, conic duality, and the SMO algorithm. In: ICML, pp. 6\u201313 (2004)","DOI":"10.1145\/1015330.1015424"},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"477","DOI":"10.1214\/07-STS242","volume":"22","author":"P B\u00fchlmann","year":"2007","unstructured":"B\u00fchlmann, P., Hothorn, T.: Boosting algorithms: regularization, prediction and model fitting. Stat. Sci. 22, 477\u2013505 (2007)","journal-title":"Stat. Sci."},{"key":"4_CR4","volume-title":"Comparative Models for Electrical Load Forecasting","author":"D Bunn","year":"1985","unstructured":"Bunn, D., Farmer, E.D.: Comparative Models for Electrical Load Forecasting. John Wiley and Sons Inc., New York (1985)"},{"issue":"3","key":"4_CR5","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1145\/1961189.1961199","volume":"2","author":"CC Chang","year":"2011","unstructured":"Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines. ACM Trans. Intell. Syst. Technol. 2(3), 27 (2011)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"issue":"1\u20132","key":"4_CR6","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/s10994-010-5231-6","volume":"85","author":"O Chapelle","year":"2011","unstructured":"Chapelle, O., Shivaswamy, P., Vadrevu, S., Weinberger, K., Zhang, Y., Tseng, B.: Boosted multi-task learning. Mach. Learn. 85(1\u20132), 149\u2013173 (2011)","journal-title":"Mach. Learn."},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Dai, W., Yang, Q., Xue, G.R., Yu, Y.: Boosting for transfer learning. In: ICML, pp. 193\u2013200 (2007)","DOI":"10.1145\/1273496.1273521"},{"issue":"99","key":"4_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TSG.2016.2555788","volume":"PP","author":"JB Fiot","year":"2016","unstructured":"Fiot, J.B., Dinuzzo, F.: Electricity demand forecasting by multi-task learning. IEEE Trans. Smart Grid PP(99), 1 (2016)","journal-title":"IEEE Trans. Smart Grid"},{"key":"4_CR9","unstructured":"Freund, Y., Schapire, R.E.: Experiments with a new boosting algorithm. In: ICML, pp. 148\u2013156 (1996)"},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2001","unstructured":"Friedman, J.H.: Greedy function approximation: a gradient boosting machine. Ann. Stat. 29, 1189\u20131232 (2001)","journal-title":"Ann. Stat."},{"key":"4_CR11","first-page":"2211","volume":"12","author":"M G\u00f6nen","year":"2011","unstructured":"G\u00f6nen, M., Alpayd\u0131n, E.: Multiple kernel learning algorithms. J. Mach. Learn. Res. 12, 2211\u20132268 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"4_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7","volume-title":"The Elements of Statistical Learning: Data Mining, Inference, and Prediction","author":"T Hastie","year":"2009","unstructured":"Hastie, T., Tibshirani, R., Friedman, J.: The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edn. Springer, New York (2009). https:\/\/doi.org\/10.1007\/978-0-387-84858-7","edition":"2"},{"issue":"1","key":"4_CR13","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/59.910780","volume":"16","author":"HS Hippert","year":"2001","unstructured":"Hippert, H.S., Pedreira, C.E., Souza, R.C.: Neural networks for short-term load forecasting: a review and evaluation. IEEE Trans. Power Syst. 16(1), 44\u201355 (2001)","journal-title":"IEEE Trans. Power Syst."},{"key":"4_CR14","unstructured":"IEM. https:\/\/mesonet.agron.iastate.edu\/request\/download.phtml"},{"issue":"3","key":"4_CR15","doi-asserted-by":"publisher","first-page":"1277","DOI":"10.1109\/TSG.2015.2430364","volume":"7","author":"F Kamyab","year":"2016","unstructured":"Kamyab, F., Amini, M., Sheykhha, S., Hasanpour, M., Jalali, M.M.: Demand response program in smart grid using supply function bidding mechanism. IEEE Trans. Smart Grid 7(3), 1277\u20131284 (2016)","journal-title":"IEEE Trans. Smart Grid"},{"key":"4_CR16","unstructured":"Mason, L., Baxter, J., Bartlett, P., Frean, M.: Boosting algorithms as gradient descent in function space. In: NIPS, pp. 512\u2013518 (2000)"},{"key":"4_CR17","unstructured":"OPENEI. http:\/\/en.openei.org\/doe-opendata\/dataset"},{"issue":"10","key":"4_CR18","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4_CR19","unstructured":"Pardoe, D., Stone, P.: Boosting for regression transfer. In: ICML, pp. 863\u2013870 (2010)"},{"key":"4_CR20","first-page":"941","volume":"5","author":"S Rosset","year":"2004","unstructured":"Rosset, S., Zhu, J., Hastie, T.: Boosting as a regularized path to a maximum margin classifier. J. Mach. Learn. Res. 5, 941\u2013973 (2004)","journal-title":"J. Mach. Learn. Res."},{"key":"4_CR21","volume-title":"Electrical Load Forecasting: Modeling and Model Construction","author":"SAH Soliman","year":"2010","unstructured":"Soliman, S.A.H., Al-Kandari, A.M.: Electrical Load Forecasting: Modeling and Model Construction. Elsevier, New York (2010)"},{"key":"4_CR22","doi-asserted-by":"crossref","unstructured":"Wang, B., Pineau, J.: Online boosting algorithms for anytime transfer and multitask learning. In: AAAI, pp. 3038\u20133044 (2015)","DOI":"10.1609\/aaai.v29i1.9607"},{"issue":"7","key":"4_CR23","doi-asserted-by":"publisher","first-page":"1574","DOI":"10.1109\/TKDE.2012.89","volume":"25","author":"H Xia","year":"2013","unstructured":"Xia, H., Hoi, S.C.: MKBoost: a framework of multiple kernel boosting. IEEE Trans. Knowl. Data Eng. 25(7), 1574\u20131586 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Yao, Y., Doretto, G.: Boosting for transfer learning with multiple sources. In: CVPR, pp. 1855\u20131862 (2010)","DOI":"10.1109\/CVPR.2010.5539857"},{"issue":"4","key":"4_CR25","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1049\/iet-gtd.2012.0541","volume":"7","author":"R Zhang","year":"2013","unstructured":"Zhang, R., Dong, Z.Y., Xu, Y., Meng, K., Wong, K.P.: Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine. IET Gener. Transm. Distrib. 7(4), 391\u2013397 (2013)","journal-title":"IET Gener. Transm. Distrib."},{"key":"4_CR26","unstructured":"Zhuang, J., Tsang, I.W., Hoi, S.C.: Two-layer multiple kernel learning. In: AISTATS, pp. 909\u2013917 (2011)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-71273-4_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,29]],"date-time":"2022-12-29T01:16:50Z","timestamp":1672276610000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-71273-4_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319712727","9783319712734"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-71273-4_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"30 December 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECML PKDD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Skopje","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Macedonia","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2017","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 September 2017","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2017","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ecml2017","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ecmlpkdd2017.ijs.si\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}