Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Farivar, Masoud"'
Classifiers that can be implemented on chip with minimal computational and memory resources are essential for edge computing in emerging applications such as medical and IoT devices. This paper introduces a machine learning model based on oblique dec
Externí odkaz:
http://arxiv.org/abs/2006.07900
Autor:
Farivar, Masoud
Climate change is arguably the most critical issue facing our generation and the next. As we move towards a sustainable future, the grid is rapidly evolving with the integration of more and more renewable energy resources and the emergence of electri
The increasing penetration of renewable and distributed energy resources in distribution networks calls for real-time and distributed voltage control. In this paper we investigate local Volt/VAR control with a general class of control functions, and
Externí odkaz:
http://arxiv.org/abs/1801.02015
Voltage regulation is critical for power grids. However, it has become a much more challenging problem as distributed energy resources (DERs) such as photovoltaic and wind generators are increasingly deployed, causing rapid voltage fluctuations beyon
Externí odkaz:
http://arxiv.org/abs/1508.02796
Autor:
Farivar, Masoud, Low, Steven H.
Publikováno v:
IEEE Transactions on Power Systems, 2013
We propose a branch flow model for the anal- ysis and optimization of mesh as well as radial networks. The model leads to a new approach to solving optimal power flow (OPF) that consists of two relaxation steps. The first step eliminates the voltage
Externí odkaz:
http://arxiv.org/abs/1204.4865
The intent of the study detailed in this paper is to demonstrate the benefits of inverter var control on a fast timescale to mitigate rapid and large voltage fluctuations due to the high penetration of photovoltaic generation and the resulting revers
Externí odkaz:
http://arxiv.org/abs/1112.5594
In this paper, we focus on two-dimensional connectivity in sparse vehicular ad hoc networks (VANETs). In this respect, we find thresholds for the arrival rates of vehicles at entrances of a block of streets such that the connectivity is guaranteed fo
Externí odkaz:
http://arxiv.org/abs/0812.1628
In this paper, we propose a method to address the problem of source estimation for Sparse Component Analysis (SCA) in the presence of additive noise. Our method is a generalization of a recently proposed method (SL0), which has the advantage of direc
Externí odkaz:
http://arxiv.org/abs/0811.2868
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