%0 Journal Article %1 journals/eswa/NieTLD22 %A Nie, Ru-Xin %A peng Tian, Zhang %A Long, Ruyin %A Dong, Wei %D 2022 %J Expert Syst. Appl. %K dblp %P 117854 %T Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents' psychological preferences and calendar variables. %U http://dblp.uni-trier.de/db/journals/eswa/eswa206.html#NieTLD22 %V 206

@article{journals/eswa/NieTLD22, added-at = {2023-09-30T00:00:00.000+0200}, author = {Nie, Ru-Xin and peng Tian, Zhang and Long, Ruyin and Dong, Wei}, biburl = {https://www.bibsonomy.org/bibtex/2bd8256b7277ea96da6fa087f4567be11/dblp}, ee = {https://www.wikidata.org/entity/Q114180440}, interhash = {4d48e355232a6c8f97bce5379ee1932d}, intrahash = {bd8256b7277ea96da6fa087f4567be11}, journal = {Expert Syst. Appl.}, keywords = {dblp}, pages = 117854, timestamp = {2024-04-08T10:11:13.000+0200}, title = {Forecasting household electricity demand with hybrid machine learning-based methods: Effects of residents' psychological preferences and calendar variables.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa206.html#NieTLD22}, volume = 206, year = 2022 }