Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jessica Maghakian"'
Autor:
Jessica Maghakian
Publikováno v:
ACM SIGMETRICS Performance Evaluation Review. 50:24-27
Brief Biography: Jessica Maghakian is a final-year PhD candidate in Operations Research at Stony Brook University. She has collaborated with several industry partners and interned at Microsoft Research NYC. Jessica's research combines data-driven dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::767206ec21c17fbe445105c3c2eaf5ef
https://doi.org/10.1145/3579342.3579349
https://doi.org/10.1145/3579342.3579349
Autor:
Jian Li, Mohammad H. Hajiesmaili, Zhenhua Liu, Jessica Maghakian, Russell Lee, Ramesh K. Sitaraman
Publikováno v:
e-Energy
This paper studies the online energy scheduling problem in a hybrid model where the cost of energy is proportional to both the volume and peak usage, and where energy can be either locally generated or drawn from the grid. Inspired by recent advances
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e457f5580c42d81a64da970678fc0710
https://doi.org/10.1145/3508467.3508473
https://doi.org/10.1145/3508467.3508473
Autor:
Russell Lee, Jessica Maghakian, Jian Li, Zhenhua Liu, Ramesh K. Sitaraman, Mohammad H. Hajiesmaili
Publikováno v:
CISS
Predictions have a long and rich history in online optimization research, with applications ranging from video streaming to electrical vehicle charging. Traditionally, different algorithms are evaluated on their performance given access to the same t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f18f0854ec5a612fa91544a01bc2d2
https://doi.org/10.1109/ciss50987.2021.9400315
https://doi.org/10.1109/ciss50987.2021.9400315
Publikováno v:
ICNC
As society demands that renewable energy be increasingly adopted into the mix of electricity generating resources, more efficient methods to dispatch controllable generators to power unmet demand become necessary. This is due to both the volatile nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d90c5247a7b0838e79708dc731222a9
https://doi.org/10.1109/icnc47757.2020.9049701
https://doi.org/10.1109/icnc47757.2020.9049701
Publikováno v:
EUSIPCO
In order to efficiently perform inference on high-dimensional nonlinear non-Gaussian state-space models using particle filtering, it is critical that particles are generated from the optimal proposal distribution. However, finding a closed-form to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578b59e31374bf906c91a60995797204
https://doi.org/10.23919/eusipco.2019.8903178
https://doi.org/10.23919/eusipco.2019.8903178
Publikováno v:
CISS
The rapid mainstream adoption of cloud computing and the corresponding spike in the energy usage of big data systems make the efficient management of cloud computing resources a more pressing issue than ever before. To this end, numerous online algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19415b2f58dd95029d6d848ba914664d
https://doi.org/10.1109/ciss.2019.8692890
https://doi.org/10.1109/ciss.2019.8692890