Data Science Applied to Electrical Energy Systems
Nauka o podacima za elektroenergetske sisteme: Python, statistika, nadgledano i nenadgledano učenje i neuronske mreže, na podacima iz energetike.
Data science for power systems: Python, statistics, supervised and unsupervised learning and neural networks, applied to energy data.
- Jezik
- engleski
- Fajlova
- 218
- Veličina
- 305 MB
Besplatno, za gledanje i preuzimanje
Odakle da počneš
Prođi slajdove uz sveske predmeta u course2425_datascience4energysystems, koje imaju i podatke, pa laboratorijsku vežbu i završni projekat.
Where to start
Go through the slides with the course’s notebooks in course2425_datascience4energysystems, which come with their data, then the lab and the final project.
Šta je u folderu
6 delova, pod imenima koja imaju na Drive-u.
Slajdovi
01_Slides
Slajdovi o Pythonu, statistici, nadgledanom i nenadgledanom učenju i neuronskim mrežama.
Slides. Slides on Python, statistics, supervised and unsupervised learning and neural networks.
Završni projekat: zadatak
02_Final Project
Zadatak završnog projekta.
Final project: the brief. The final project’s assignment.
Pomoćni materijal
03_Supporting material
Kako se pristupa GitHub repozitorijumu predmeta.
Supporting material. How to get to the course’s GitHub repository.
Sveske predmeta
course2425_datascience4energysystems
Repozitorijum Jupyter svezaka predmeta za 2024/25, sa podacima.
Course notebooks. The course’s notebook repository for 2024/25, with its data.
Laboratorijska vežba
LAB
Laboratorijska vežba: moj izveštaj i kod.
Lab. The lab: my report and its code.
Završni projekat: cena struje za sutra
Final project - Predicting electricity price for tomorrow
Moj završni projekat (decembar 2024): predviđa cenu struje u Španiji za svaki sat sledećeg dana iz ESIOS podataka o proizvodnji, potrošnji i prognozama (jun 2022. do decembar 2024) i cena gasa, poredeći random forest, XGBoost, gradient boosting, linearnu regresiju i MLP, pa grupiše dnevne profile cena i isprobava PCA. Izveštaj od 37 strana i sveska sa rezultatima.
Final project: predicting tomorrow’s electricity price. My final project (December 2024): it predicts the next day’s hourly electricity price in Spain from ESIOS generation, demand and forecast data (June 2022 to December 2024) and gas prices, comparing random forest, XGBoost, gradient boosting, linear regression and an MLP, then clusters daily price profiles and tries PCA. The 37-page report and the notebook with its outputs.
Dobro je znati
- Izveštaji i projekti su primeri, a ne za prepisivanje.The reports and projects are examples, not ones to copy.
- Program i pravila polaganja se menjaju iz godine u godinu, pa važeća proveri kod predmetnog nastavnika.Programmes and exam rules change from year to year, so check the current ones with the teacher.
Ako je nešto u ovom folderu tvoje i želiš da se ukloni, piši mi na milossaric@outlook.com i uklanjam ga.Wrote something in this folder and want it taken down? Email me at the same address and I’ll remove it.