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Dr Mohmmad Rizwan

vidwan id: 67105
Male

Professor, Department of Electrical Engineering
Delhi Technological University

Expertise

  • Electrical and Electronic Engineering

Publications

Total Articles 152
Books 0
Proceedings 0

Publications

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Scopus

Citations 2547
h-index 26

CrossRef

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Citations 569
h-index 11
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Professional Recognition

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Community & Membership

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IEEE

2012
Senior Member

Bio

Power System Engineering, Renewable Energy Systems particularly Solar Photovoltaic, Building Energy Management, Smart Grid and Soft Computing Applications in Power Systems

Personal Details

  • Male
  • Professor , Delhi Technological University
  • Department of Electrical Engineering, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road
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Professor Jul 2010 – Present
Delhi Technological University | Department of Electrical Engineering

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Prof Narendra Kumar

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Scholarly Work

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Scholarly Publications

Load Forecasting Using Different Techniques

Open Access
Book Chapter

A new intelligent approach for size optimization of a renewable energy based grid connected hybrid energy system

Open Access
Article
Authors: Sharma B.;Rizwan M.;Anand P.

A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia

Open Access
Article
Authors: Alsaidan I.;Bilal M.;Alaraj M.;Rizwan M.;Almasoudi F.M.

Techno-economic assessment of grid and renewable powered electric vehicle charging stations in India using a modified metaheuristic technique

Open Access
Article

Optimal design of renewable energy based hybrid system considering weather forecasting using machine learning techniques

Open Access
Article

Development of Novel Model for the Assessment of Dust Accumulation on Solar PV Modules

Open Access
Article

Advanced Intelligent Hybrid Approach for State of Charge Estimation of Li-Ion Batteries in Electric Vehicles under Various Drive Cycles

Open Access
Conference Paper
Authors: Kumar D.;Rizwan M.;Panwar A.K.

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

Open Access
Article