Zobrazeno 1 - 10
of 146
pro vyhledávání: '"Baker, Kyri"'
Autor:
Mathieu, Johanna L., Verbič, Gregor, Morstyn, Thomas, Almassalkhi, Mads, Baker, Kyri, Braslavsky, Julio, Bruninx, Kenneth, Dvorkin, Yury, Ledva, Gregory S., Mahdavi, Nariman, Pandžić, Hrvoje, Parisio, Alessandra, Perić, Vedran
Demand response is a concept that has been around since the very first electric power systems. However, we have seen an explosion of research on demand response and demand-side technologies in the past 30 years, coinciding with the shift towards libe
Externí odkaz:
http://arxiv.org/abs/2410.18768
Recent developments in applying machine learning to address Alternating Current Optimal Power Flow (AC OPF) problems have demonstrated significant potential in providing close to optimal solutions for generator dispatch in near real-time. While these
Externí odkaz:
http://arxiv.org/abs/2410.19157
Replacing fossil-fueled appliances and vehicles with electric alternatives can reduce greenhouse gas emissions and air pollution in many settings. However, residential electrification can raise electricity demand beyond the safe limits of electrical
Externí odkaz:
http://arxiv.org/abs/2410.04540
Differential equations (DE) constrained optimization plays a critical role in numerous scientific and engineering fields, including energy systems, aerospace engineering, ecology, and finance, where optimal configurations or control strategies must b
Externí odkaz:
http://arxiv.org/abs/2410.01786
Autor:
Baker, Kyri, Gangammanavar, Harsha
Electricity markets often utilize the DC approximation of the AC power flow equations to facilitate solving an otherwise complex nonconvex optimization problem. These DC power flow equations have analogies to DC circuit laws such as Kirchhoff's Laws,
Externí odkaz:
http://arxiv.org/abs/2403.19032
The adoption of electric vehicles (EVs), including electric taxis and buses, as a mode of transportation, is rapidly increasing in cities. In addition to providing economic and environmental benefits, these fleets can potentially participate in the e
Externí odkaz:
http://arxiv.org/abs/2311.11464
Linear approximations of the AC power flow equations are of great significance for the computational efficiency of large-scale optimal power flow (OPF) problems. Put differently, the feasibility of the obtained solution is essential for practical use
Externí odkaz:
http://arxiv.org/abs/2207.05216
The application of deep learning methods to speed up the resolution of challenging power flow problems has recently shown very encouraging results. However, power system dynamics are not snap-shot, steady-state operations. These dynamics must be cons
Externí odkaz:
http://arxiv.org/abs/2206.10579
Publikováno v:
In Heliyon 30 October 2024 10(20)
Optimal Power Flow (OPF) is a fundamental problem in power systems. It is computationally challenging and a recent line of research has proposed the use of Deep Neural Networks (DNNs) to find OPF approximations at vastly reduced runtimes when compare
Externí odkaz:
http://arxiv.org/abs/2111.11168