%0 Journal Article %1 mitrentsis2022interpretable %A Mitrentsis, Georgios %A Lens, Hendrik %D 2022 %I Elsevier %J Applied energy %K ubs_10004 ubs_20004 ubs_30043 ubs_40069 unibibliografie wos %P 118473 %R 10.1016/j.apenergy.2021.118473 %T An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting %V 309

@article{mitrentsis2022interpretable, added-at = {2022-11-14T13:23:11.000+0100}, affiliation = {Mitrentsis, G (Corresponding Author), Univ Stuttgart, IFK, Power Generat & Automat Control, Stuttgart, Germany. Mitrentsis, Georgios; Lens, Hendrik, Univ Stuttgart, IFK, Power Generat & Automat Control, Stuttgart, Germany.}, author = {Mitrentsis, Georgios and Lens, Hendrik}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2de25d647129165e78ae2fa0b65b55cc5/unibiblio}, doi = {10.1016/j.apenergy.2021.118473}, interhash = {23f91844785051dc3d2608829d76b4b9}, intrahash = {de25d647129165e78ae2fa0b65b55cc5}, issn = {{0306-2619} and {1872-9118}}, journal = {Applied energy}, keywords = {ubs_10004 ubs_20004 ubs_30043 ubs_40069 unibibliografie wos}, language = {eng}, pages = 118473, publisher = {Elsevier}, research-areas = {Energy & Fuels; Engineering}, timestamp = {2022-11-14T12:23:11.000+0100}, title = {An interpretable probabilistic model for short-term solar power forecasting using natural gradient boosting}, unique-id = {WOS:000772044100003}, volume = 309, year = 2022 }