I am working with a version of GCAM where the model calibration year is set to 2015. I am currently attempting to calibrate the model's outputs for 2020—specifically for electricity generation (whose fuel mix in 2020 is much different from those before 2020) and final energy consumption—to match historical statistical records.
I have two specific questions:
1. Currently, I am manually adjusting share-weights, running the model, checking the results against my 2020 targets, and repeating the process. This manual iteration is time-consuming. Is there a more efficient or automated way to calibrate? Are there specific parameters other than share-weights I should prioritize for this type of adjustment?
2. If I adjust share-weights to force a match for 2020, should the 2020 adjustments be carried forward/interpolated in future periods (2025, 2030, etc.), or should I let the model dynamics take over from the 2020 state without further manual intervention?
Any help or advice would be greatly appreciated!
Thank you!
I am working with a version of GCAM where the model calibration year is set to 2015. I am currently attempting to calibrate the model's outputs for 2020—specifically for electricity generation (whose fuel mix in 2020 is much different from those before 2020) and final energy consumption—to match historical statistical records.
I have two specific questions:
1. Currently, I am manually adjusting share-weights, running the model, checking the results against my 2020 targets, and repeating the process. This manual iteration is time-consuming. Is there a more efficient or automated way to calibrate? Are there specific parameters other than share-weights I should prioritize for this type of adjustment?
2. If I adjust share-weights to force a match for 2020, should the 2020 adjustments be carried forward/interpolated in future periods (2025, 2030, etc.), or should I let the model dynamics take over from the 2020 state without further manual intervention?
Any help or advice would be greatly appreciated!
Thank you!