%0 Journal Article %1 mitrentsis2022gaussian %A Mitrentsis, Georgios %A Lens, Hendrik %D 2022 %E Elsevier, %J Electric Power Systems Research %K from:ftus1 ifk sua %P 108403 %R https://doi.org/10.1016/j.epsr.2022.108403 %T A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables %U https://www.sciencedirect.com/science/article/pii/S0378779622005521 %V 211

@article{mitrentsis2022gaussian, added-at = {2022-07-14T08:59:56.000+0200}, author = {Mitrentsis, Georgios and Lens, Hendrik}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2014dd7ec83cbdf6bab36bbef850f59b1/ifk-admin}, doi = {https://doi.org/10.1016/j.epsr.2022.108403}, editor = {Elsevier}, interhash = {731516076517b0e717c4b788fa8bb90a}, intrahash = {014dd7ec83cbdf6bab36bbef850f59b1}, journal = {Electric Power Systems Research}, keywords = {from:ftus1 ifk sua}, pages = 108403, timestamp = {2022-07-14T06:59:56.000+0200}, title = {A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables}, url = {https://www.sciencedirect.com/science/article/pii/S0378779622005521}, volume = 211, year = 2022 }