David P. Chassin

Hi Corey, My preferred way of starting a new project is to find test-cases in the corresponding module's autotest folder that validate the capabilities I need. This is by far the most comprehensive and authoritative source of examples for how to use the more esoteric features of GridLAB-D. The test names are usually self-explanatory. All validation tests start with test_ followed by the test name and the extension .glm. My guess is you are looking for tests that include the terms fault and deltamode....

Hi Ali, As I said, Frank's point is correct. I was simply pointing out the additional issue with using quadratic interpolation for solar data. Changing to linear interpolation does not address the issue that Frank raises. Dave

Hi Ali, As I said, Frank's point is correct. I was simply pointing out the additional issue with using quadratic interploation for solar data. Changing to linear interpolation does not address the issue that Frank raises. Dave

Hi Ali, As I said, Frank's point is correct. I was simply pointing out the additional issue with using quadratic interploation for solar data. Changing to linear interlolation does not address the issue that Frank raises. Dave

Hi Ali, Aside from what Frank says (which is absolutely correct in my experience), there is a more fundamental consideration regarding quadratic interpolation of solar data . Consider the simple case where you have solar observations at the end of the day such as the following: | t | p | | ----- | --- | | 17:50 | 20 | | 18:00 | 10 | | 18:10 | 0 | | 18:20 | 0 | | 18:30 | 0 | If you interpolate quadratically, you can see that you will get negative values for all times between 18:10 and 18:20, which...

Hi Ali, Aside from what Frank says (which is absolutly correct in my experience), there is a more fundamental consideration regarding quadratic interpolation of solar data . Consider the simple case where you have solar observations at the end of the day such as the following: | t | p | | ----- | --- | | 17:50 | 20 | | 18:00 | 10 | | 18:10 | 0 | | 18:20 | 0 | | 18:30 | 0 | If you interpolate quadratically, you can see that you will get negative values for all times between 18:10 and 18:20, which...

Hi Ali, Aside from what Frank says (which is absolutly correct in my experience), there is a more fundamental consideration regarding quadratic interpolation of solar data . Consider the simple case where you have solar observations at the end of the day such as the following: | t | p | | ----- | --- | | 17:50 | 20 | | 18:00 | 10 | | 18:10 | 0 | | 18:20 | 0 | | 18:30 | 0 | If you interpolate quadratically, you can see that you will get negative values for all times between 18:10 and 18:20, which...

Docker issue https://github.com/docker/for-mac/issues/3455 reports a fix is available now. Add the following to the file /Applications/Docker.app/Contents/Resources/linuxkit/cmdline: tsc=reliable