%0 Conference Paper %1 gensler2016deep %A Gensler, A. %A Henze, J. %A Sick, B. %A Raabe, N. %B IEEE International Conference on Systems, Man and Cybernetics (SMC) %C Budapest, Hungary %D 2016 %I IEEE %K imported %P 2858--2865 %R 10.1109/smc.2016.7844673 %T Deep Learning for Solar Power Forecasting -- An Approach using Autoencoder and LSTM Neural Networks

@inproceedings{gensler2016deep, added-at = {2022-01-07T10:37:59.000+0100}, address = {Budapest, Hungary}, author = {Gensler, A. and Henze, J. and Sick, B. and Raabe, N.}, biburl = {https://www.bibsonomy.org/bibtex/201db555d0df79e6e07e4fd1f72a24c81/ies}, booktitle = {IEEE International Conference on Systems, Man and Cybernetics (SMC)}, doi = {10.1109/smc.2016.7844673}, interhash = {10b7b1e046847196b5468faeef3dd7ec}, intrahash = {01db555d0df79e6e07e4fd1f72a24c81}, keywords = {imported}, pages = {2858--2865}, publisher = {IEEE}, timestamp = {2022-01-07T10:37:59.000+0100}, title = {Deep Learning for Solar Power Forecasting -- An Approach using Autoencoder and {LSTM} Neural Networks}, year = 2016 }