World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
64
Citations
19296
World Ranking
1272
National Ranking
527

Overview

Saifur Rahman is affiliated with Virginia Tech in the United States and has a strong publication record primarily in the field of engineering. Their research spans various subfields, notably electrical and electronic engineering, control and systems engineering, aerospace engineering, information systems, and building and construction.

Their work addresses multiple topics, particularly focusing on smart grid energy management and microgrid control and optimization. Other recurrent themes in their research include antenna design and analysis, energy load and power forecasting, building energy and comfort optimization, machine fault diagnosis techniques, and smart grid security and resilience.

Saifur Rahman has published extensively in several key venues, including:

  • IEEE Transactions on Magnetics
  • IEEE Antennas and Wireless Propagation Letters
  • IEEE Power and Energy Magazine
  • IEEE Transactions on Smart Grid
  • SSRN Electronic Journal

The scientist frequently collaborates with several authors, with the most frequent coauthors being Karen Hawkins, Thomas Siegert, Mary Ward-Callan, Steven Heffner, and Cecelia Jankowski.

Among the recent papers authored or coauthored by Saifur Rahman are:

  • Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks, 2020, Applied Energy
  • A Comparative Performance Analysis of ANN Algorithms for MPPT Energy Harvesting in Solar PV System, 2021, IEEE Access
  • An Edge-Cloud Integrated Solution for Buildings Demand Response Using Reinforcement Learning, 2020, IEEE Transactions on Smart Grid
  • Short-term electrical load forecasting through heuristic configuration of regularized deep neural network, 2022, Applied Soft Computing
  • An Assessment of Multistage Reward Function Design for Deep Reinforcement Learning-Based Microgrid Energy Management, 2022, IEEE Transactions on Smart Grid

The research contributions notably include developments in load forecasting frameworks, ANN algorithm performance analysis for energy harvesting, edge-cloud solutions for demand response, and reinforcement learning applications in energy management systems.

Best Publications

  • Multi-agent systems in a distributed smart grid: Design and implementation

    M. Pipattanasomporn;H. Feroze;S. Rahman

  • Analysis and evaluation of five short-term load forecasting techniques

    Ibrahim Moghram;Saifur Rahman

  • A review of recent advances in economic dispatch

    B.H. Chowdhury;S. Rahman

  • An Algorithm for Intelligent Home Energy Management and Demand Response Analysis

    M. Pipattanasomporn;M. Kuzlu;S. Rahman

  • Communication network requirements for major smart grid applications in HAN, NAN and WAN

    Murat Kuzlu;Manisa Pipattanasomporn;Saifur Rahman

  • An expert system based algorithm for short term load forecast

    S. Rahman;R. Bhatnagar

  • Unit sizing and control of hybrid wind-solar power systems

    R. Chedid;S. Rahman

  • Grid Integration of Electric Vehicles and Demand Response With Customer Choice

    Shengnan Shao;M. Pipattanasomporn;S. Rahman

  • Challenges of PHEV penetration to the residential distribution network

    Shengnan Shao;Manisa Pipattanasomporn;Saifur Rahman

  • A decision support technique for the design of hybrid solar-wind power systems

    R. Chedid;H. Akiki;S. Rahman

  • Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

    Mengmeng Cai;Manisa Pipattanasomporn;Saifur Rahman

  • Demand Response as a Load Shaping Tool in an Intelligent Grid With Electric Vehicles

    Shengnan Shao;M. Pipattanasomporn;S. Rahman

  • Load Profiles of Selected Major Household Appliances and Their Demand Response Opportunities

    Manisa Pipattanasomporn;Murat Kuzlu;Saifur Rahman;Yonael Teklu

  • A generalized knowledge-based short-term load-forecasting technique

    S. Rahman;O. Hazim

  • An investigation into the impact of electric vehicle load on the electric utility distribution system

    S. Rahman;G.B. Shrestha

  • Development of physical-based demand response-enabled residential load models

    Shengnan Shao;Manisa Pipattanasomporn;Saifur Rahman

  • Impact of TOU rates on distribution load shapes in a smart grid with PHEV penetration

    Shengnan Shao;Tianshu Zhang;Manisa Pipattanasomporn;Saifur Rahman

  • Two-loop controller for maximizing performance of a grid-connected photovoltaic-fuel cell hybrid power plant

    Kyoungsoo Ro;S. Rahman

  • Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts

    Shibani Ghosh;Saifur Rahman;Manisa Pipattanasomporn

  • Patterned langmuir-blodgett films of monodisperse nanoparticles of iron oxide using soft lithography.

    Qijie Guo;Xiaowei Teng;Saifur Rahman;Hong Yang

  • An adaptive linear combiner for on-line tracking of power system harmonics

    P.K. Dash;D.P. Swain;A.C. Liew;S. Rahman

  • Input variable selection for ANN-based short-term load forecasting

    I. Drezga;S. Rahman

Frequent Co-Authors

P.K. Dash
P.K. Dash Siksha O Anusandhan University
A.C. Liew
A.C. Liew National University of Singapore
Chongqing Kang
Chongqing Kang Tsinghua University
Yonghua Song
Yonghua Song University of Macau
Qing Xia
Qing Xia Tsinghua University
Fred C. Lee
Fred C. Lee Virginia Tech
Roger A. Dougal
Roger A. Dougal University of South Carolina
Le Xie
Le Xie Texas A&M University
Michael Steurer
Michael Steurer Florida State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring varied educational routes can enhance career prospects. Many institutions offer flexible online degrees for military spouses, making it easier for students balancing family commitments to pursue their goals without relocation.

Starting your studies without delay is possible through online colleges that start soon. These programs offer convenient enrollment options throughout the year, helping you enter the workforce faster or transition careers efficiently.

If you’re looking to quickly boost your skills, short certificate programs that pay well provide focused training in key technical areas. These certificates often enhance earning potential and allow for specialization in emerging technologies relevant to electrical and electronics fields.

For individuals who prefer independent work environments, several of the high paying careers for introverts align well with engineering disciplines. Roles like design engineering, systems analysis, and research development offer rewarding options for those valuing focused, behind-the-scenes work.

Best Scientists Citing Saifur Rahman

Trending Scientists

Recently Published Articles