S
Sandeep Kaur
Researcher at PEC University of Technology
Publications - 46
Citations - 521
Sandeep Kaur is an academic researcher from PEC University of Technology. The author has contributed to research in topics: Sliding mode control & Photovoltaic system. The author has an hindex of 9, co-authored 41 publications receiving 374 citations. Previous affiliations of Sandeep Kaur include Indian Institute of Technology Delhi & Indian Institute of Technology Roorkee.
Papers
More filters
Journal ArticleDOI
A MINLP technique for optimal placement of multiple DG units in distribution systems
TL;DR: In this article, the authors proposed a methodology to solve Mixed Integer Non-Linear Programming (MINLP) formulation for loss minimization, which simplifies the problem by dividing it in two phases, namely Siting Planning Model (SPM) and Capacity Planning Model(CPM) thereby reducing the search space and computational time.
Journal ArticleDOI
Contrast Enhancement Techniques for Images- A Visual Analysis
Ritika Ritika,Sandeep Kaur +1 more
TL;DR: This paper presents an analysis of the mathematical morphological approach with comparison to various other state-of-art techniques for addressing the problems of low contrast in images.
Journal ArticleDOI
Aggregates of perylene bisimide stabilized superparamagnetic Fe3O4 nanoparticles: an efficient catalyst for the preparation of propargylamines and quinolines via C–H activation
TL;DR: Aggregates of the perylene bisimide derivative act as reactors and stabilizers for the preparation of superparamagnetic Fe3O4 nanoparticles (NPs) which exhibit excellent catalytic efficiency in A(3)-coupling and aldehyde free coupling reactions for the synthesis of propargylamines.
Journal ArticleDOI
Uncertainty and disturbance estimator based robust synchronization for a class of uncertain fractional chaotic system via fractional order sliding mode control
TL;DR: A fractional order sliding mode control methodology is derived analytically for convergence of all the synchronizing errors to zero in finite time and an auxiliary control based on uncertainty and disturbance estimator (UDE) is augmented for ensuring the robustness of the closed loop system dynamics in the presence of system uncertainties.
Proceedings ArticleDOI
Demand side management in a smart grid environment
TL;DR: In this article, the authors proposed a scheduling scheme using genetic algorithm for load management in a smart grid environment and showed that the proposed algorithm efficiently reduces the PAR and electricity consumption cost.