Zobrazeno 1 - 10
of 347
pro vyhledávání: '"Mohammadi, Javad"'
Autor:
Agah, Nora, Mohammadi, Javad, Aved, Alex, Ferris, David, Cruz, Erika Ardiles, Morrone, Philip
As the complexities of Dynamic Data Driven Applications Systems increase, preserving their resilience becomes more challenging. For instance, maintaining power grid resilience is becoming increasingly complicated due to the growing number of stochast
Externí odkaz:
http://arxiv.org/abs/2407.14684
Autor:
Li, Meiyi, Mohammadi, Javad
The complexities of information processing across Dynamic Data Driven Applications Systems drive the development and adoption of Artificial Intelligence-based optimization solutions. Traditional solvers often suffer from slow response times and an in
Externí odkaz:
http://arxiv.org/abs/2407.05499
Autor:
Nweye, Kingsley, Kaspar, Kathryn, Buscemi, Giacomo, Fonseca, Tiago, Pinto, Giuseppe, Ghose, Dipanjan, Duddukuru, Satvik, Pratapa, Pavani, Li, Han, Mohammadi, Javad, Ferreira, Luis Lino, Hong, Tianzhen, Ouf, Mohamed, Capozzoli, Alfonso, Nagy, Zoltan
As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particularly to understand the impact of geographic, climatic, and occupant beha
Externí odkaz:
http://arxiv.org/abs/2405.03848
The increased penetration of distributed energy resources and the adoption of sensing and control technologies are driving the transition from our current centralized electric grid to a distributed system controlled by multiple entities (agents). The
Externí odkaz:
http://arxiv.org/abs/2311.13785
Autor:
Du, Yuhan, Mohammadi, Javad
The growing integration of distributed energy resources drives the centralized power system towards a decentralized multi-agent network. Operating multi-agent networks significantly relies on inter-agent communications. Computation granularity in thi
Externí odkaz:
http://arxiv.org/abs/2311.12190
Autor:
Li, Meiyi, Mohammadi, Javad
The evolution towards a more distributed and interconnected grid necessitates large-scale decision-making within strict temporal constraints. Machine learning (ML) paradigms have demonstrated significant potential in improving the efficacy of optimiz
Externí odkaz:
http://arxiv.org/abs/2311.04838
Autor:
Li, Meiyi, Mohammadi, Javad
Amid the increasing interest in the deployment of Distributed Energy Resources (DERs), the Virtual Power Plant (VPP) has emerged as a pivotal tool for aggregating diverse DERs and facilitating their participation in wholesale energy markets. These VP
Externí odkaz:
http://arxiv.org/abs/2310.17882
Autor:
Nelson, Kelsey, Mohammadi, Javad, Chen, Yu, Blasch, Erik, Aved, Alex, Ferris, David, Cruz, Erika Ardiles, Morrone, Philip
Electric vehicles (EVs) are becoming more popular within the United States, making up an increasingly large portion of the US's electricity consumption. Hence, there is much attention has been directed on how to manage EVs within the power sector. A
Externí odkaz:
http://arxiv.org/abs/2310.17069
Electric vehicles (EVs) are becoming more commonplace in Texas, mainly due to their increasing attractiveness to consumers and pushes from the state's governing bodies to incentivize further adoption. Meanwhile, service from Texas's electric grid, ER
Externí odkaz:
http://arxiv.org/abs/2211.04391
Constrained optimization problems appear in a wide variety of challenging real-world problems, where constraints often capture the physics of the underlying system. Classic methods for solving these problems rely on iterative algorithms that explore
Externí odkaz:
http://arxiv.org/abs/2208.10611