%0 Journal Article %1 journals/sensors/NjimbouomLLK23 %A Njimbouom, Soualihou Ngnamsie %A Lee, Kwonwoo %A Lee, Hyun %A Kim, Jeong-Dong %D 2023 %J Sensors %K dblp %N 1 %P 82 %T Predicting Site Energy Usage Intensity Using Machine Learning Models. %U http://dblp.uni-trier.de/db/journals/sensors/sensors23.html#NjimbouomLLK23 %V 23

@article{journals/sensors/NjimbouomLLK23, added-at = {2023-01-31T00:00:00.000+0100}, author = {Njimbouom, Soualihou Ngnamsie and Lee, Kwonwoo and Lee, Hyun and Kim, Jeong-Dong}, biburl = {https://www.bibsonomy.org/bibtex/295b7d1c24483af64a8531cb7bc75bdc7/dblp}, ee = {https://doi.org/10.3390/s23010082}, interhash = {24e2a22c1240ffc8a7b07b79dce255cf}, intrahash = {95b7d1c24483af64a8531cb7bc75bdc7}, journal = {Sensors}, keywords = {dblp}, number = 1, pages = 82, timestamp = {2024-04-09T04:14:48.000+0200}, title = {Predicting Site Energy Usage Intensity Using Machine Learning Models.}, url = {http://dblp.uni-trier.de/db/journals/sensors/sensors23.html#NjimbouomLLK23}, volume = 23, year = 2023 }