Machine learning based predictive model for methanol steam reforming with technical, environmental, and economic perspectives

This publication has 69 references indexed in Scilit:

• Machine learning of molecular electronic properties in chemical compound space
  New Journal of Physics, 2013
• Hydrogen as an energy carrier: Prospects and challenges
  Renewable and Sustainable Energy Reviews, 2012
• Hydrogen and fuel cells: Towards a sustainable energy future
  Energy Policy, 2008
• A classification and regression tree model of controls on dissolved inorganic nitrogen leaching from European forests
  Environmental Pollution, 2008
• Hydrogen as a renewable and sustainable solution in reducing global fossil fuel consumption
  International Journal of Hydrogen Energy, 2008
• Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya—An application of classification and regression tree analysis
  Agriculture, Ecosystems & Environment, 2008
• Support vector machine learning from heterogeneous data: an empirical analysis using protein sequence and structure
  Bioinformatics, 2006
• Comparing support vector machines to PLS for spectral regression applications
  Chemometrics and Intelligent Laboratory Systems, 2004
• Realizing the hydrogen future: the International Energy Agency's efforts to advance hydrogen energy technologies
  International Journal of Hydrogen Energy, 2003
• The hydrogen economy in the 21st century: a sustainable development scenario
  International Journal of Hydrogen Energy, 2003