%0 Journal Article %1 journals/eswa/FanHLPYH24 %A Fan, Guo-Feng %A Han, Ying-Ying %A Li, Jin-Wei %A Peng, Li-Ling %A Yeh, Yi-Hsuan %A Hong, Wei-Chiang %D 2024 %J Expert Syst. Appl. %K dblp %N Part C %P 122012 %T A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques. %U http://dblp.uni-trier.de/db/journals/eswa/eswa238.html#FanHLPYH24 %V 238

@article{journals/eswa/FanHLPYH24, added-at = {2023-12-10T00:00:00.000+0100}, author = {Fan, Guo-Feng and Han, Ying-Ying and Li, Jin-Wei and Peng, Li-Ling and Yeh, Yi-Hsuan and Hong, Wei-Chiang}, biburl = {https://www.bibsonomy.org/bibtex/26f43047184e4a902734d4f115083255f/dblp}, ee = {https://doi.org/10.1016/j.eswa.2023.122012}, interhash = {5100af4a2a1dc1f2e6669ae6c7391284}, intrahash = {6f43047184e4a902734d4f115083255f}, journal = {Expert Syst. Appl.}, keywords = {dblp}, month = {March}, number = {Part C}, pages = 122012, timestamp = {2024-04-08T10:08:47.000+0200}, title = {A hybrid model for deep learning short-term power load forecasting based on feature extraction statistics techniques.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa238.html#FanHLPYH24}, volume = 238, year = 2024 }