Zobrazeno 1 - 3
of 3
pro vyhledávání: '"David Obst"'
Publikováno v:
IEEE Transactions on Power Systems. 36:4754-4763
The coronavirus disease 2019 (COVID-19) pandemic has urged many governments in the world to enforce a strict lockdown where all nonessential businesses are closed and citizens are ordered to stay at home. One of the consequences of this policy is a s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47a2cadd2f1c1e2b21ba6bf91962ce6e
https://doi.org/10.1109/tpwrs.2021.3067551
https://doi.org/10.1109/tpwrs.2021.3067551
Publikováno v:
Sommer, B, Pinson, P, Messner, J W & Obst, D 2020, ' Online distributed learning in wind power forecasting ', International Journal of Forecasting, vol. 37, no. 1, pp. 205-223 . https://doi.org/10.1016/j.ijforecast.2020.04.004
Forecasting wind power generation up to a few hours ahead is of the utmost importance for the efficient operation of power systems and for participation in electricity markets. Recent statistical learning approaches exploit spatiotemporal dependence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1d6826e479dbc6980651b18a29b8b1a
https://doi.org/10.1016/j.ijforecast.2020.04.004
https://doi.org/10.1016/j.ijforecast.2020.04.004
Publikováno v:
Computational Statistics & Data Analysis. 174:107499
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f7f7fad7dc06d866ca880472f6a953
https://doi.org/10.1016/j.csda.2022.107499
https://doi.org/10.1016/j.csda.2022.107499