Fingerprint Fingerprint is based on mining the text of the persons scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 1 Similar Profiles
Direct methanol fuel cells (DMFC) Engineering & Materials Science
Energy utilization Engineering & Materials Science
methyl alcohol Physics & Astronomy
Neural networks Engineering & Materials Science
Anodes Engineering & Materials Science
Cathodes Engineering & Materials Science
Regression analysis Engineering & Materials Science
cathodes Physics & Astronomy

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Research Output 2007 2016

  • 59 Citations
  • 4 h-Index
  • 4 Article
  • 2 Conference contribution
4 Citations

Prediction of residential building energy consumption: A neural network approach

Biswas, M. A. R., Robinson, M. D. & Fumo, N. Dec 15 2016 In : Energy. 117, p. 84-92 9 p.

Research output: Contribution to journalArticle

Energy utilization
Neural networks
Test facilities
Solar radiation
Artificial intelligence
7 Citations

Comprehensive mass transport modeling technique for the cathode side of an open-cathode direct methanol fuel cell

Mudiraj, S. P., Biswas, M. A. R., Lear, W. E. & Crisalle, O. D. Jul 6 2015 In : International Journal of Hydrogen Energy. 40, 25, p. 8137-8159 23 p., 15773

Research output: Contribution to journalArticle

cathodes
Cathodes
fuel cells
methyl alcohol
Direct methanol fuel cells (DMFC)
1 Citations

Performance estimation of direct methanol fuel cell using artificial neural network

Biswas, M. A. R. & Robinson, M. D. 2015 Energy. American Society of Mechanical Engineers (ASME), Vol. 6B-2015

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Neural networks
Direct methanol fuel cells (DMFC)
Fuel cells
Topology
Temperature
39 Citations

Regression analysis for prediction of residential energy consumption

Fumo, N. & Rafe Biswas, M. A. 2015 In : Renewable and Sustainable Energy Reviews. 47, p. 332-343 12 p., 4190

Research output: Contribution to journalArticle

Regression analysis
Linear regression
Energy utilization
Smart meters
Solar radiation
8 Citations

Systematic approach for modeling methanol mass transport on the anode side of direct methanol fuel cells

Biswas, M. A. R., Mudiraj, S. P., Lear, W. E. & Crisalle, O. D. May 15 2014 In : International Journal of Hydrogen Energy. 39, 15, p. 8009-8025 17 p.

Research output: Contribution to journalArticle

Anodes
methyl alcohol
Methanol
anodes
Direct methanol fuel cells (DMFC)