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Upma Singh

vidwan id: 243613
Female

Assistant Professor, Department of Electronics and Communication Engineering
Maharaja Surajmal Institute of Technology

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 16
Books 0
Proceedings 0

Publications

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Scopus

Citations 285
h-index 5

CrossRef

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Citations 26
h-index 2
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Professional Recognition

2023

Research Excellence Award

Delhi Technological University
2023

Research Excellence Award

Maharaja Surajmal Institute of Technology

Community & Membership

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Bio

Instrumentation and Control; Renewable Energy

Personal Details

  • Female
  • Assistant Professor , Maharaja Surajmal Institute of Technology
  • C-4 Janak Puri
M.Tech
Deen Bandhu Chhotu Ram University of Sciences & Technology 2012
B.Tech
Other Institute 2010
Assistant Professor Jan 2013 – Present
Maharaja Surajmal Institute of Technology | Department of Electronics and Communication Engineering

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Organisations (114+)

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Co-Authors (4)

Narendra

Prof Narendra Kumar

Delhi Technological University

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Prof Narendra Kumar

Delhi Technological University

Mohmmad

Dr Mohmmad Rizwan

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Subhanshu

Dr Subhanshu Goyal

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Scholarly Work

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wireless electric road for charging future EV vehicals

Dr. shailendra kumar mittal
Dr. M.S. srinivasa rao
Er. yogendra umar kuhwaha
sumit kumar maitra
abhilasha pawar
m. praveen kumar
nellore manoj kumarisha singh
sachit rathee
upma singh
Dr. N
- Application No. : 202321001634 Filed : 08-01-2023
Published : N/A Granted

Scholarly Publications

Improving solar power forecast from meteorological parameters with regression models.

Open Access
article

Analysis of wind turbine dataset and machine learning based forecasting in SCADA-system

Open Access
Article

Error Evaluation of Short-Term Wind Power Forecasting Models

Open Access
Conference Paper

Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review

Open Access
Review
Authors: Singh U.;Rizwan M.;Malik H.;García Márquez F.P.

Enhancing wind power forecasting from meteorological parameters using machine learning models.

Open Access
conference paper

SCADA system dataset exploration and machine learning based forecast for wind turbines." Results in Engineering 16 (2022): 100640.

Open Access
conference paper

A feasibility study and cost benefit analysis of an off-grid hybrid system for a rural area electrification.

Open Access
article

A Systematic Review on Selected Applications and Approaches of Wind Energy Forecasting and Integration

Open Access
Review