Zobrazeno 1 - 4
of 4
pro vyhledávání: '"G. C. D. Price"'
The empirical mode decomposition (EMD) method and its variants have been extensively employed in the load and renewable forecasting literature. Using this multiresolution decomposition, time series (TS) related to the historical load and renewable ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d2609f57afbe2c4dfc8321eb36fc67d
http://arxiv.org/abs/2011.11410
http://arxiv.org/abs/2011.11410
Publikováno v:
IET Generation, Transmission & Distribution
IET Generation, Transmission & Distribution, Vol 15, Iss 1, Pp 164-175 (2021)
IET Generation, Transmission & Distribution, Vol 15, Iss 1, Pp 164-175 (2021)
This paper presents lessons learned to date during the Coronavirus Disease 2019 (COVID-19) pandemic from the viewpoint of Saskatchewan power system operations. A load estimation approach is developed to identify how the closures affecting businesses,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79b35393e9ee435329a1f28b9e1894c9
http://arxiv.org/abs/2011.10844
http://arxiv.org/abs/2011.10844
Publikováno v:
IEEE Transactions on Power Systems. 33:7109-7121
The inherent uncertainty in predicting wind power generation makes the operation and control of power systems very challenging. Probabilistic measurement of wind power uncertainty in the form of a reliable and sharp interval is of utmost importance,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::538888a3392558b8cbf2c4f98f4c9c85
https://doi.org/10.1109/tpwrs.2018.2848207
https://doi.org/10.1109/tpwrs.2018.2848207
Publikováno v:
IEEE Transactions on Power Systems. 33:590-601
Decomposition methods are widely applied as a prestage of wind power prediction (WPP) to reduce the prediction errors caused by the nonstationarity and nonlinearity of wind power time series (TS); however, they cannot address the issues posed by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2a875eaab8081c9c3ef3b437e4f7ef0
https://doi.org/10.1109/tpwrs.2017.2694705
https://doi.org/10.1109/tpwrs.2017.2694705