%0 Journal Article %1 mitrentsis2022gaussian %A Mitrentsis, Georgios %A Lens, Hendrik %D 2022 %I Elsevier %J Electric power systems research %K ubs_10004 ubs_20004 ubs_30043 ubs_40069 unibibliografie wos %N October %P 108403 %R 10.1016/j.epsr.2022.108403 %T A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables %V 211

@article{mitrentsis2022gaussian, added-at = {2023-02-03T09:43:35.000+0100}, affiliation = {Mitrentsis, G (Corresponding Author), Univ Stuttgart, IFK, Dept Power Generat & Automatic Control, Stuttgart, Germany. Mitrentsis, Georgios; Lens, Hendrik, Univ Stuttgart, IFK, Dept Power Generat & Automatic Control, Stuttgart, Germany.}, author = {Mitrentsis, Georgios and Lens, Hendrik}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/213445a356da574464e3583196fae9e95/unibiblio}, doi = {10.1016/j.epsr.2022.108403}, interhash = {731516076517b0e717c4b788fa8bb90a}, intrahash = {13445a356da574464e3583196fae9e95}, issn = {{0378-7796} and {1873-2046}}, journal = {Electric power systems research}, keywords = {ubs_10004 ubs_20004 ubs_30043 ubs_40069 unibibliografie wos}, language = {eng}, number = {October}, pages = 108403, publisher = {Elsevier}, research-areas = {Engineering}, timestamp = {2023-02-03T08:43:35.000+0100}, title = {A Gaussian process framework for the probabilistic dynamic modeling of active distribution networks using exogenous variables}, unique-id = {WOS:000836904300010}, volume = 211, year = 2022 }