The forward projection of the energy demands for households as described in the final report of DemandRegio is unfortunately not possible. After changing the year (e.g. 2020, 2030) in the config.yaml file as well as the specification in the direct query in the Jupyter Notebook (year=...), I get the following error: "ValueError: The returned pd.DataFrame is empty!".
The query for electricity demands for households is only possible up to the year 2018 and for gas demands up to 2017. A forward projection in the sectors industry and CTS, on the other hand, is possible until 2035 without any problems. Could you check this?
nesnoj
commented
1 year ago
Dear DemandRegio Team,
The forward projection of the energy demands for households as described in the final report of DemandRegio is unfortunately not possible. After changing the year (e.g. 2020, 2030) in the config.yaml file as well as the specification in the direct query in the Jupyter Notebook (year=...), I get the following error: "ValueError: The returned pd.DataFrame is empty!".
The query for electricity demands for households is only possible up to the year 2018 and for gas demands up to 2017. A forward projection in the sectors industry and CTS, on the other hand, is possible until 2035 without any problems. Could you check this?
Your help would be very much appreciated!
Thank you, Philipp