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dan-marshman / denki-uc

Stochastic unit commitment model in python
GNU General Public License v3.0
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forecasting methodology #4

Open Mostafa494 opened 3 years ago

Mostafa494 commented 3 years ago

Dear Prof. Thank you for your efforts. Would you mind giving me some more information about the methodology of forecasting used in the project. How could I determine no. of scenarios required for each case and what are the constraints for using different scenarios for PV, Wind and demand.

Many Thanks

dan-marshman commented 3 years ago

Hi Mostafa,

You can configure the number of scenarios (but must be the same number for all wind, demand and solar). Personally I have found ten to be a good number for full scale simulations, but would recommend starting lower than that when testing to lower the computational burden.

I would suggest reading either the Energy Economics paper or the Methods chapter of the thesis linked in the README to gain more understanding of the forecasting method.

Thanks,

Dan