Welcome Assis. Prof. Neeraj Gupta from National Institute of technology Srinagar, India to be committee member!
日期:2019-12-13 点击量: 181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 |



