Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Hsu-Hui Hong"'
Autor:
Heng-Yi Su, Hsu-Hui Hong
Publikováno v:
IEEE Transactions on Power Systems. 36:3790-3793
This letter presents a self-adaptive data-driven learning method for enhanced probabilistic prediction of voltage stability margin (VSM). An online probabilistic extreme learning machine (ELM) algorithm based on the power transformation technique is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a74f3e556498301eb7a3bfe6dfcf8fb0
https://doi.org/10.1109/tpwrs.2021.3067150
https://doi.org/10.1109/tpwrs.2021.3067150
Autor:
Hsu-Hui Hong, Heng-Yi Su
Publikováno v:
IEEE Transactions on Power Systems. 35:3262-3265
This letter presents a multi-objective probabilistic model for the optimal selection of pilot buses in secondary voltage regulation (SVR) of transmission grids. The pilot-bus selection (PS) problem is formulated in the form of a stochastic multi-obje
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::018812c4f7925c848651ac772f4150a8
https://doi.org/10.1109/tpwrs.2020.2981004
https://doi.org/10.1109/tpwrs.2020.2981004
Publikováno v:
IEEE Transactions on Sustainable Energy. 11:1103-1105
This letter presents an improved ensemble learning framework for forecasting of solar power generation. A modified ensemble model based on a novel adaptive residual compensation (ARC) algorithm and an evolutionary optimization technique is proposed t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d111a271f23aec2721d085f7cda93993
https://doi.org/10.1109/tste.2019.2931154
https://doi.org/10.1109/tste.2019.2931154