activity
20182021
most citedRoles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

233 citations · 260 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2021★ 15 cited

Robust Observer Based Methodology for Frequency and Rate of Change of Frequency Estimation in Power Systems

Abdul Saleem Mir, Abhinav Kumar Singh, Nilanjan Senroy

An observer based adaptive detection methodology (ADM) is proposed for estimating frequency and its rate of change (RoCoF) of the voltage and/or current measurements acquired from…

eess.SY2020★ 3 cited

Dynamic State Estimation for Power System Control and Protection

Yu Liu, Abhinav Kumar Singh, Junbo Zhao +12

Dynamic state estimation (DSE) accurately tracks the dynamics of a power system and provides the evolution of the system state in real-time. This paper focuses on the control and p…

cond-mat.mtrl-sci2020★ 9 cited

Unambiguous evidence of three coexisting ferroelectric phases in a lead-free LiNaNbO system

Abhinav Kumar Singh, Digvijay Nath Dubey, Gurvinderjit Singh +1

We report here the presence of three coexisting ferroelectric phases in a lead-free lithium sodium niobate (LiNaNbO; LNNx) system stable for $0.15 \leq x \leq 0…

eess.SP2020★ 233 cited

Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation

Junbo Zhao, Marcos Netto, Zhenyu Huang +13

Power system dynamic state estimation (DSE) remains an active research area. This is driven by the absence of accurate models, the increasing availability of fast-sampled, time-syn…

cs.CV2018

Efficient Single Image Super Resolution using Enhanced Learned Group Convolutions

Vandit Jain, Prakhar Bansal, Abhinav Kumar Singh +1

Convolutional Neural Networks (CNNs) have demonstrated great results for the single-image super-resolution (SISR) problem. Currently, most CNN algorithms promote deep and computati…