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D-Index & Metrics

Engineering and Technology

D-Index
64
Citations
14443
World Ranking
1660
National Ranking
73

Overview

Ali Elkamel is affiliated with the University of Waterloo in Canada, contributing extensively to the field of engineering, especially within electrical and electronic engineering. Their research spans multiple areas, reflecting a broad engagement with energy systems and related technologies.

Elkamel's work covers several main topics, including:

  • Electric Vehicles and Infrastructure
  • Hybrid Renewable Energy Systems
  • Carbon Dioxide Capture Technologies
  • Smart Grid Energy Management
  • Process Optimization and Integration
  • Integrated Energy Systems Optimization
  • Advanced Battery Technologies Research

The scientist has published in numerous venues, with frequent contributions to:

  • Energies
  • Computers & Chemical Engineering
  • Sustainability
  • The Canadian Journal of Chemical Engineering
  • Energy

Several co-authors regularly collaborate with Ali Elkamel, including:

  • Ali Ahmadian
  • Ali Almansoori
  • Farzad Hourfar
  • Hossein Mashhadimoslem
  • Muhammad Rizwan

Among recent papers authored by or involving Ali Elkamel are:

  • "Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network" (2020), published in IEEE Transactions on Industrial Electronics
  • "Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach" (2020), published in International Journal of Electrical Power & Energy Systems
  • "A Review on Plug-in Electric Vehicles: Introduction, Current Status, and Load Modeling Techniques" (2020), published in Journal of Modern Power Systems and Clean Energy
  • "Short-term wind speed forecasting framework based on stacked denoising auto-encoders with rough ANN" (2020), published in Sustainable Energy Technologies and Assessments
  • "Techno-economic analysis of integrated hydrogen and methanol production process by CO2 hydrogenation" (2022), published in International Journal of Greenhouse Gas Control

Their publications demonstrate a multidisciplinary approach intertwining electrical engineering, mechanical engineering, biomedical engineering, control and systems engineering, and materials chemistry. The research outputs reflect an emphasis on applying advanced methodologies, including deep learning and optimization techniques, to address contemporary challenges in energy and environmental sectors.

Best Publications

  • Optimal Transition to Plug-In Hybrid Electric Vehicles in Ontario, Canada, Considering the Electricity-Grid Limitations

    A. Hajimiragha;C.A. Caizares;M.W. Fowler;A. Elkamel

  • Reservoir permeability prediction by neural networks combined with hybrid genetic algorithm and particle swarm optimization

    Mohammad Ali Ahmadi;Sohrab Zendehboudi;Ali Lohi;Ali Elkamel

  • Pyrolysis, kinetics analysis, thermodynamics parameters and reaction mechanism of Typha latifolia to evaluate its bioenergy potential.

    Muhammad Sajjad Ahmad;Muhammad Aamer Mehmood;Muhammad Aamer Mehmood;Syed Taha Haider Taqvi;Ali Elkamel

  • Design and experimental investigation of portable solar thermoelectric refrigerator

    Sabah A. Abdul-Wahab;Ali Elkamel;Ali Mohamed Al-Damkhi;Is'haq A. Al-Habsi

  • Benchmarking and selection of Power-to-Gas utilizing electrolytic hydrogen as an energy storage alternative

    Sean B. Walker;Ushnik Mukherjee;Michael Fowler;Ali Elkamel

  • Asphaltene precipitation and deposition in oil reservoirs –technical aspects, experimental and hybrid neural network predictive tools

    Sohrab Zendehboudi;Ali Shafiei;Alireza Bahadori;Lesley A. James

  • A Robust Optimization Approach for Planning the Transition to Plug-in Hybrid Electric Vehicles

    A. H. Hajimiragha;C. A. Canizares;M. W. Fowler;S. Moazeni

  • Modeling and optimization of a network of energy hubs to improve economic and emission considerations

    Azadeh Maroufmashat;Azadeh Maroufmashat;Ali Elkamel;Michael Fowler;Sourena Sattari

  • Plug-in electric vehicle batteries degradation modeling for smart grid studies: Review, assessment and conceptual framework

    Ali Ahmadian;Mahdi Sedghi;Ali Elkamel;Michael Fowler

  • Deep Learning-Based Forecasting Approach in Smart Grids With Microclustering and Bidirectional LSTM Network

    Hamidreza Jahangir;Hanif Tayarani;Saleh Sadeghi Gougheri;Masoud Aliakbar Golkar

  • Cost-Benefit Analysis of V2G Implementation in Distribution Networks Considering PEVs Battery Degradation

    Ali Ahmadian;Mahdi Sedghi;Behnam Mohammadi-ivatloo;Ali Elkamel

  • Risk-Averse Optimal Bidding of Electric Vehicles and Energy Storage Aggregator in Day-Ahead Frequency Regulation Market

    Behzad Vatandoust;Ali Ahmadian;Masoud Aliakbar Golkar;Ali Elkamel

  • The Influence of Temperature, Pressure, Salinity, and Surfactant Concentration on the Interfacial Tension of the N-Octane-Water System

    T. Al-Sahhaf;A. Elkamel;A. Suttar Ahmed;A. R. Khan

  • Electricity demand estimation using an adaptive neuro-fuzzy network: A case study from the Ontario province – Canada

    Gholamreza Zahedi;Saeed Azizi;Alireza Bahadori;Ali Elkamel

  • Optimization Model for Energy Planning with CO2 Emission Considerations

    Haslenda Hashim;Peter Douglas;and Ali Elkamel;Eric Croiset

  • Optimal bidding strategy of a virtual power plant in day-ahead energy and frequency regulation markets: A deep learning-based approach

    Saleh Sadeghi;Hamidreza Jahangir;Behzad Vatandoust;Masoud Aliakbar Golkar

  • Mixed integer linear programing based approach for optimal planning and operation of a smart urban energy network to support the hydrogen economy

    Azadeh Maroufmashat;Azadeh Maroufmashat;Michael Fowler;Sourena Sattari Khavas;Ali Elkamel

  • A new correlation for predicting hydrate formation conditions for various gas mixtures and inhibitors

    Ahmed A. Elgibaly;Ali M. Elkamel

  • Measurement and prediction of ozone levels around a heavily industrialized area: a neural network approach

    A. Elkamel;S. Abdul-Wahab;W. Bouhamra;E. Alper

  • A multi-period optimization model for energy planning with CO2 emission consideration

    H. Mirzaesmaeeli;A. Elkamel;P.L. Douglas;E. Croiset

  • A Review on Plug-In Electric Vehicles: Introduction, Current Status, and Load Modeling Techniques

    Ali Ahmadian;Behnam Mohammadi-Ivatloo;Ali Elkamel

  • Optimal tuning of PID controllers for FOPTD, SOPTD and SOPTD with lead processes

    C.R. Madhuranthakam;A. Elkamel;H. Budman

Frequent Co-Authors

Eric Croiset
Eric Croiset University of Waterloo
Peter L. Douglas
Peter L. Douglas University of Waterloo
Michael Fowler
Michael Fowler University of Waterloo
Sohrab Zendehboudi
Sohrab Zendehboudi Memorial University of Newfoundland
Masoud Aliakbar Golkar
Masoud Aliakbar Golkar K.N.Toosi University of Technology
Ioannis Chatzis
Ioannis Chatzis University of Waterloo
Alireza Bahadori
Alireza Bahadori Southern Cross University
Luis A. Ricardez-Sandoval
Luis A. Ricardez-Sandoval University of Waterloo
Behnam Mohammadi-Ivatloo
Behnam Mohammadi-Ivatloo Lappeenranta University of Technology
Aiping Yu
Aiping Yu University of Waterloo

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