Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees. Ahmad, M. W., Reynolds, J., & Rezgui, Y. J. Clean. Prod., 203:810–821, Elsevier, 2018. bibtex @article{ahmad2018predictive,
title={Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees},
author={Ahmad, Muhammad Waseem and Reynolds, Jonathan and Rezgui, Yacine},
journal={J. Clean. Prod.},
volume={203},
pages={810--821},
year={2018},
publisher={Elsevier}
}
Downloads: 0
{"_id":"Bx2sWYgKyk7LNXnZs","bibbaseid":"ahmad-reynolds-rezgui-predictivemodellingforsolarthermalenergysystemsacomparisonofsupportvectorregressionrandomforestextratreesandregressiontrees-2018","author_short":["Ahmad, M. W.","Reynolds, J.","Rezgui, Y."],"bibdata":{"bibtype":"article","type":"article","title":"Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees","author":[{"propositions":[],"lastnames":["Ahmad"],"firstnames":["Muhammad","Waseem"],"suffixes":[]},{"propositions":[],"lastnames":["Reynolds"],"firstnames":["Jonathan"],"suffixes":[]},{"propositions":[],"lastnames":["Rezgui"],"firstnames":["Yacine"],"suffixes":[]}],"journal":"J. Clean. Prod.","volume":"203","pages":"810–821","year":"2018","publisher":"Elsevier","bibtex":"@article{ahmad2018predictive,\n title={Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees},\n author={Ahmad, Muhammad Waseem and Reynolds, Jonathan and Rezgui, Yacine},\n journal={J. Clean. Prod.},\n volume={203},\n pages={810--821},\n year={2018},\n publisher={Elsevier}\n}\n\n\n","author_short":["Ahmad, M. W.","Reynolds, J.","Rezgui, Y."],"key":"ahmad2018predictive","id":"ahmad2018predictive","bibbaseid":"ahmad-reynolds-rezgui-predictivemodellingforsolarthermalenergysystemsacomparisonofsupportvectorregressionrandomforestextratreesandregressiontrees-2018","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/network/files/6eLNxLEfwsAAZCL48","dataSources":["dHCCjjCr93xY5NBh6"],"keywords":[],"search_terms":["predictive","modelling","solar","thermal","energy","systems","comparison","support","vector","regression","random","forest","extra","trees","regression","trees","ahmad","reynolds","rezgui"],"title":"Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees","year":2018}