20.500.12556/RUL-144958 Oblačna tehnologija in napovedovanje proizvodnje sončnih celic s strojnim učenjem magistrsko delo Cloud Technology and Solar Panel Production Prediction with Machine Learning V magistrskem delu je opisano delovanje oblačne tehnologije in vse storitve, ki jih vključuje. V sklopu oblačne tehnologije so opisane tudi prednosti in slabosti takšnega načina dela. Opisano je tudi strojno učenje, podrobno pa je opisan algoritem XGBoost, ki je bil tudi uporabljen pri napovedovanju proizvodnje sončnih celic. S pomočjo oblačnih storitev je bilo vzpostavljeno tudi napovedovanje proizvodnje sončnih celic. Učenje modelov in napovedovanje je potekalo s pomočjo strojnega učenja. Vsi podatki in potek dela so opisani in ustrezno prikazani. In this master's thesis the cloud technology and all the services they include are described. In the cloud technology part of the thesis advantages and disadvantages of working with the services are stated. The machine learning part is also described with an emphasis on the algorithm XGBoost that was used for solar panel production prediction. Solar panel production prediction has been constructed with the help of cloud services. The model training and prediction was performed with machine learning. All the data used and the steps taken are described and suitably presented. strojno učenje napoved proizvodnje sončnih celic oblačna tehnologija trgovanje z električno energijo machine learning solar panel production prediction cloud technology electricity trading true false false Slovenski jezik Angleški jezik Magistrsko delo/naloga 2023-03-25 08:15:02 2023-03-25 08:15:06 2024-05-29 10:49:08 0000-00-00 00:00:00 2023 0 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.4 131172 146443267 7701.pdf 7701.pdf 1 D922402C6553B64A18E535FADE969A1F 535da3013b21cd84c3b8f735300b4832f9bd735aeb26fa7799bf8575e2b8ecf1 aea802f0-cadc-11ed-a314-00155dcfd717 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=167548 Fakulteta za matematiko in fiziko 0 0 0