Detail publikace
Transferability of ML Time Series Prediction for Energy Forecasting in Smart Homes
ŠTOLFA Filip, JOHN Petr, HYNEK Jiří a HRUŠKA Tomáš. Transferability of ML Time Series Prediction for Energy Forecasting in Smart Homes. In: IEEE Xplore. 2025 Smart City Symposium Prague (SCSP). Prague: Institute of Electrical and Electronics Engineers, 2025, s. 1-6. ISBN 979-8-3315-2550-7. Dostupné z: https://ieeexplore.ieee.org/document/11037688
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Štolfa Filip, Bc. (FIT VUT)
John Petr, Ing. (UIFS FIT VUT)
Hynek Jiří, Ing., Ph.D. (UIFS FIT VUT)
Hruška Tomáš, prof. Ing., CSc. (UIFS FIT VUT)
John Petr, Ing. (UIFS FIT VUT)
Hynek Jiří, Ing., Ph.D. (UIFS FIT VUT)
Hruška Tomáš, prof. Ing., CSc. (UIFS FIT VUT)
URL
Rok
2025
Strany
1-6
Sborník
IEEE Xplore
Řada
2025 Smart City Symposium Prague (SCSP)
Konference
Smart Cities Symposium Prague 2025, Prague, CZ
ISBN
979-8-3315-2550-7
Vydavatel
Institute of Electrical and Electronics Engineers
Místo
Prague, CZ
DOI
BibTeX
@INPROCEEDINGS{FITPUB13494, author = "Filip \v{S}tolfa and Petr John and Ji\v{r}\'{i} Hynek and Tom\'{a}\v{s} Hru\v{s}ka", title = "Transferability of ML Time Series Prediction for Energy Forecasting in Smart Homes", pages = "1--6", booktitle = "IEEE Xplore", series = "2025 Smart City Symposium Prague (SCSP)", year = 2025, location = "Prague, CZ", publisher = "Institute of Electrical and Electronics Engineers", ISBN = "979-8-3315-2550-7", doi = "10.1109/SCSP65598.2025.11037688", language = "english", url = "https://www.fit.vut.cz/research/publication/13494" }