Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Heng Yi Su"'
Autor:
Heng-Yi Su, Chen Tang
Publikováno v:
IEEE Transactions on Sustainable Energy. 13:1865-1868
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
Autor:
Chia-Chi Chu, Ching-Jung Liao, Heng-Yi Su, Yu-Jen Lin, Sheng-Huei Lee, Jian-Hong Liu, Ying-Yi Hong
Publikováno v:
IEEE Transactions on Industry Applications. 57:1973-1986
Recently, Taiwanese Government has announced an ambitious energy policy: up to 20% of total power will be generated from renewable energy resources by 2025. Under such high-level penetration level of renewable energy resources, the typical net load c
Autor:
Shih-Chung Chang, Heng-Yi Su, Chia-Wei Weng, Hui-Wen Chen, Yi-Wei Chiang, Chia-Jung Li, Kai-Ting Hsieh
Publikováno v:
Applied Microbiology and Biotechnology
Many cases of avian influenza A(H7N9) virus infection in humans have been reported since its first emergence in 2013. The disease is of concern because most patients have become severely ill with roughly 30% mortality rate. Because the threat in publ
Autor:
Chun-Rong Huang, Heng-Yi Su
Publikováno v:
IEEE Transactions on Smart Grid. 12:912-915
This letter proposes a robust ensemble learning scheme to enhance short-term prediction of wind power generation. The ensemble problem associated with pruning and combination is formulated as a worst-case robust approximation problem, taking forecast
Publikováno v:
Journal of Geophysical Research: Oceans. 127
Autor:
Heng-Yi Su1 hengyisu@fcu.edu.tw, Tzu-Yi Liu1 M0522016@fcu.edu.tw
Publikováno v:
Energies (19961073). Oct2017, Vol. 10 Issue 10, p1601. 16p. 4 Diagrams, 2 Charts, 8 Graphs, 1 Map.
Autor:
Heng-Yi Su1 hengyisu@fcu.edu.tw, Tzu-Yi Liu1 M0522016@fcu.edu.tw
Publikováno v:
Energies (19961073). Aug2017, Vol. 10 Issue 8, p1103. 16p.
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
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