D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 30 Citations 4,678 131 World Ranking 3622 National Ranking 164

Overview

What is he best known for?

The fields of study he is best known for:

  • Electrical engineering
  • Statistics
  • Mechanical engineering

His scientific interests lie mostly in Control theory, Proton exchange membrane fuel cell, Photovoltaic system, Power and Wind power. Kodjo Agbossou combines subjects such as Maximum power point tracking and Signal with his study of Control theory. His Proton exchange membrane fuel cell study combines topics in areas such as Nuclear engineering, Energy balance and Voltage.

Kodjo Agbossou interconnects Renewable energy and Energy storage in the investigation of issues within Photovoltaic system. His Renewable energy research is multidisciplinary, incorporating elements of Hydrogen production and Process engineering. As a part of the same scientific study, Kodjo Agbossou usually deals with the Energy storage, concentrating on Hydrogen storage and frequently concerns with Electrical engineering.

His most cited work include:

  • Performance of a stand-alone renewable energy system based on energy storage as hydrogen (294 citations)
  • Dynamic behavior of a PEM fuel cell stack for stationary applications (229 citations)
  • Renewable energy systems based on hydrogen for remote applications (185 citations)

What are the main themes of his work throughout his whole career to date?

Automotive engineering, Control theory, Power, Proton exchange membrane fuel cell and Energy management are his primary areas of study. Kodjo Agbossou combines subjects such as Battery, Battery pack, Electric vehicle, Efficient energy use and Renewable energy with his study of Automotive engineering. His Control theory study integrates concerns from other disciplines, such as Maximum power point tracking and AC power.

His studies in Power integrate themes in fields like Control engineering, Control system and Electronic engineering. His study looks at the relationship between Proton exchange membrane fuel cell and topics such as Voltage, which overlap with Photovoltaic system. His Energy management study incorporates themes from Smart grid and Fuel efficiency.

He most often published in these fields:

  • Automotive engineering (25.73%)
  • Control theory (20.87%)
  • Power (19.90%)

What were the highlights of his more recent work (between 2015-2021)?

  • Energy management (18.93%)
  • Automotive engineering (25.73%)
  • Power (19.90%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Energy management, Automotive engineering, Power, Control theory and Electric vehicle. His Energy management study also includes

  • Smart grid and related Efficient energy use and Data mining,
  • Real-time computing which intersects with area such as Load profile and Load management. His Automotive engineering research integrates issues from Battery, Battery electric vehicle, Powertrain and Proton exchange membrane fuel cell.

His studies deal with areas such as Control engineering, Probabilistic logic and Renewable energy as well as Power. His study in Renewable energy is interdisciplinary in nature, drawing from both Control system, Test bench, Power management, Energy storage and Photovoltaic system. His Control theory research includes themes of Fuel cells, AC power, Inverter and Electric power.

Between 2015 and 2021, his most popular works were:

  • Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data (147 citations)
  • Optimization-based energy management strategy for a fuel cell/battery hybrid power system (127 citations)
  • Approach in Nonintrusive Type I Load Monitoring Using Subtractive Clustering (61 citations)

In his most recent research, the most cited papers focused on:

  • Electrical engineering
  • Statistics
  • Mechanical engineering

Kodjo Agbossou mainly focuses on Energy management, Smart grid, Power, Automotive engineering and Electric vehicle. The concepts of his Power study are interwoven with issues in Control engineering, Representation, Energy consumption and Control theory. His Energy consumption research incorporates themes from Industrial engineering and Energy storage.

His work carried out in the field of Automotive engineering brings together such families of science as Battery, Control system and Fuzzy control system. He works mostly in the field of Battery, limiting it down to topics relating to Vehicle dynamics and, in certain cases, Proton exchange membrane fuel cell, as a part of the same area of interest. His Electric vehicle research is multidisciplinary, incorporating perspectives in Battery pack, Optimization algorithm, Fuel cells and Pontryagin's minimum principle.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Performance of a stand-alone renewable energy system based on energy storage as hydrogen

K. Agbossou;M. Kolhe;J. Hamelin;T.K. Bose.
IEEE Transactions on Energy Conversion (2004)

446 Citations

Dynamic behavior of a PEM fuel cell stack for stationary applications

J Hamelin;K Agbossou;A Laperrière;F Laurencelle.
International Journal of Hydrogen Energy (2001)

341 Citations

An improved maximum power point tracking method for photovoltaic systems

T. Tafticht;K. Agbossou;M.L. Doumbia;A. Chériti.
Renewable Energy (2008)

285 Citations

Renewable energy systems based on hydrogen for remote applications

K. Agbossou;R. Chahine;J. Hamelin;F. Laurencelle.
Journal of Power Sources (2001)

283 Citations

Characterization of a Ballard MK5-E Proton Exchange Membrane Fuel Cell Stack

F. Laurencelle;R. Chahine;J. Hamelin;K. Agbossou.
Fuel Cells (2001)

251 Citations

Time series prediction using artificial wavelet neural network and multi-resolution analysis: Application to wind speed data

Boubacar Doucoure;Kodjo Agbossou;Alben Cardenas.
Renewable Energy (2016)

202 Citations

Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference Systems .

R.E. Silva;R.E. Silva;R.E. Silva;R. Gouriveau;R. Gouriveau;S. Jemeï;S. Jemeï;D. Hissel;D. Hissel.
International Journal of Hydrogen Energy (2014)

180 Citations

Control analysis of renewable energy system with hydrogen storage for residential applications

A. Bilodeau;K. Agbossou.
Journal of Power Sources (2006)

170 Citations

Model for energy conversion in renewable energy system with hydrogen storage

S. Kélouwani;K. Agbossou;R. Chahine.
Journal of Power Sources (2005)

161 Citations

Optimization-based energy management strategy for a fuel cell/battery hybrid power system

K. Ettihir;L. Boulon;K. Agbossou.
Applied Energy (2016)

157 Citations

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