A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
When an ECM is encountered that is nonconformant for some reason, rather than raising an exception and exiting, change the behavior of ecm_prep.py to skip past that ECM and continue preparing the remaining ECMs.
Create some kind of log file with which ECMs failed and the exceptions that were triggered. Add check in run.py to warn the user again if ecm_prep.py failed to successfully handle an ECM.
When an ECM is encountered that is nonconformant for some reason, rather than raising an exception and exiting, change the behavior of ecm_prep.py to skip past that ECM and continue preparing the remaining ECMs.