• Programming language: Python
  • Status: Off line

  • The publication of the source code to github is still pending

SAM Wrapper For Industrial Process Heat Models

SWIPH is a decision support tool that simplifies the entry of input variables needed in SAM’s IPH models. In addition to providing default values for the industry sector selected, SWIPH uses supervised classification algorithms to predict if the combination of inputs introduced by the user leads to a converge error. When that is the case, it suggests the closest set of input variables that produces a valid simulation. SWIPH is able to predict with 94% accuracy whether the given inputs will produce a valid simulation or on the other hand, what kind of error would it raise.