Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Daniel Adrian Maldonado"'
Publikováno v:
IEEE Transactions on Industry Applications. 58:7764-7775
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5e52e860ab7a64785c7f41929b23802
https://doi.org/10.1109/tia.2022.3195475
https://doi.org/10.1109/tia.2022.3195475
Autor:
Bendong Tan, Junbo Zhao, Nan Duan, Daniel Adrian Maldonado, Yingchen Zhang, Hongming Zhang, Mihai Anitescu
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 12:161-171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e55d07102248a6fbe38a29841a5135b6
https://doi.org/10.1109/jetcas.2022.3141975
https://doi.org/10.1109/jetcas.2022.3141975
Publikováno v:
Journal of Optimization Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c9505fe628a539959078caab380f09c
https://doi.org/10.1007/s10957-022-02129-5
https://doi.org/10.1007/s10957-022-02129-5
Publikováno v:
2022 17th International Conference on Probabilistic Methods Applied to Power Systems (PMAPS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42d05b3a8cbf34f355071ce05e15a5d6
https://doi.org/10.1109/pmaps53380.2022.9810624
https://doi.org/10.1109/pmaps53380.2022.9810624
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 42:800-831
Randomized linear system solvers have become popular as they have the potential to reduce floating point complexity while still achieving desirable convergence rates. One particularly promising class of methods, random sketching solvers, has achieved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e070a41bd59bb59f0ee74ae51c65803e
https://doi.org/10.1137/19m1259481
https://doi.org/10.1137/19m1259481
Autor:
Hong Zhang, Shrirang Abhyankar, Lois Curfman McInnes, Daniel Adrian Maldonado, Getnet D. Betrie, Barry Smith
Publikováno v:
ACM Transactions on Mathematical Software. 46:1-24
We present DMNetwork, a high-level package included in the PETSc library for the simulation of multiphysics phenomena over large-scale networked systems. The library aims at applications that have networked structures such as those in electrical, gas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::345b9e425ee34a5463248defe26dd956
https://doi.org/10.1145/3344587
https://doi.org/10.1145/3344587
A machine learning technique is proposed for quantifying uncertainty in power system dynamics with spatiotemporally correlated stochastic forcing. We learn one-dimensional linear partial differential equations for the probability density functions of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8df41a8cfb409c9f8a3f6e678311850
Autor:
Bendong Tan, Federico Milano, Daniel Adrian Maldonado, Yingchen Zhang, Junbo Zhao, Qiupin Lai
Publikováno v:
2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America).
Accurate estimation of local bus frequency is important for effectively controlling both synchronous and nonsynchronous generators. As the power grid evolves to accommodate essential reliability services such as virtual inertia from nonsynchronous ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::defe541a5a31c835434fd30743aee56b
https://doi.org/10.1109/isgtlatinamerica52371.2021.9543055
https://doi.org/10.1109/isgtlatinamerica52371.2021.9543055
Publikováno v:
Electric Power Systems Research. 212:108268
We propose a novel feasible-path algorithm to solve the optimal power flow (OPF) problem for real-time use cases. The method augments the seminal work of Dommel and Tinney with second-order derivatives to work directly in the reduced space induced by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b76a8a489b99084af792320c1f9d233
https://doi.org/10.1016/j.epsr.2022.108268
https://doi.org/10.1016/j.epsr.2022.108268