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Shahrokh Akhlaghi

Researcher at Binghamton University

Publications -  24
Citations -  586

Shahrokh Akhlaghi is an academic researcher from Binghamton University. The author has contributed to research in topics: Kalman filter & Extended Kalman filter. The author has an hindex of 11, co-authored 23 publications receiving 406 citations. Previous affiliations of Shahrokh Akhlaghi include State University of New York System.

Papers
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Proceedings ArticleDOI

Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation

TL;DR: In this article, an adaptive filtering approach is proposed to estimate the covariance matrix of process noise (Q) and measurement noise (R) based on innovation and residual to improve the dynamic state estimation accuracy of the extended Kalman filter.
Journal ArticleDOI

A Multi-Step Adaptive Interpolation Approach to Mitigating the Impact of Nonlinearity on Dynamic State Estimation

TL;DR: It is shown through the Monte-Carlo method that the estimation accuracy can be improved through interpolation and a good tradeoff between estimation accuracy and computational time can be achieved effectively through the proposed MSAI approach.
Proceedings ArticleDOI

Performance analysis of the Slip mode frequency shift islanding detection method under different inverter interface control strategies

TL;DR: In this paper, the performance of the SMS-IDM is investigated in the presence of different inverter interface control strategies (IICS) and the impact of the two constant-current and constant-power IICS when the inverters are equipped with the SMSIDM, are compared and analyzed from detecting islanding point of view.
Journal ArticleDOI

Efficient operation of residential solar panels with determination of the optimal tilt angle and optimal intervals based on forecasting model

TL;DR: In this article, a novel procedure is proposed to select the number of intervals and their durations by solving an optimisation problem, and the results show improvement of the solar power generation by using the optimal intervals.