Welcome Assis. Prof. Neeraj Gupta from National Institute of technology Srinagar, India to be committee member!

日期:2019-12-13 点击量:  166次


Assis. Prof. Neeraj Gupta

National Institute of technology Srinagar, India


Research Area:

Power Systems, Renewable energy systems, uncertainty modelling


Research Experience:

Teaching Experience Assistant professor in NIT Srinagar from 29th Oct. 2018-Present

Lecturer in NIT Hamirpur from 14 sept 2015-22nd Oct. 2018

Assistant professor Adani Institute of Infrastructure Engineering

Aug-sept 2015  

Lecturer in Thapar University from Aug-2008-May2009

Academic Qualification 2015 Ph.D (Power systems) from IIT Roorkee

2008    M.E. (Power systems) from Thapar University

2005     B.E.  (Electrical) from Jammu University 

Honours and awards Senior Member IEEE

MHRD Scholarship 2011-2014

MHRD Scholarship 2006-2008

Publications:-


Journals (SCI)

 

S.No

Authors

Title of the paper

Journal’s  name and place of publication

Publication

Vol. /Page/ No/year

Impact factor

1

Neeraj Gupta

Gauss quadrature based probabilistic load flow

method with voltage dependent loads including

WTGS, PV and EV charging uncertainties

 

IEEE Transactions on Industry Applications, U.S.

 

IEEE

 

Vol. 54, No. 6, pp. 6485-6497.  Nov Dec 2018

 

2.937

2

Neeraj Gupta

Stochastic optimal reactive power planning and active power dispatch with large penetration of wind generation 

 

Journal of Renewable and Sustainable Energy, U. K.

American Institute of physics press.

Vol. 10, No. 2, 2018

1.135

3

Neeraj Gupta, Novalio Daratha

Probabilistic three-phase load flow for unbalanced electrical systems with wind farms

 

International Journal of electrical power and energy systems, Netherlands

Elsevier

 Vol 87, pp. 154-165, 2017

3.289

4

Neeraj Gupta

Probabilistic Load Flow with detailed wind generator models considering correlated wind generation and correlated loads

 

Renewable Energy, U.K.

Elsevier

 Vol 94, pp. 96-105, 2016

4.357

5

Neeraj Gupta

A review on the inclusion of wind generation in power system studies

Renewable and sustainable energy reviews, Netherlands

Elsevier

 Vol 59, pp. 530-543, 2016

8.050