AIcrowd | NeurIPS 2023 Citylearn Challenge

Submission #237614

graded

Submitted by

Mean_NRMSE

3249530511326860097161061374728001135492924957346576832107247169438191253471303588466821247408185616271129819201857320372929132102240543945145964298240.000

Message

View your submission at http://gitlab.aicrowd.com/pakapro/citylearn-2023-forecasting-track-starter-kit/issues/4

Additional Information

repo_url

http://gitlab.aicrowd.com/pakapro/citylearn-2023-forecasting-track-starter-kit

gitlab_project_id

8928

gitlab_issue_iid

Building_1_Equipment_Eletric_Power

1.5984192028032008e+150

Building_1_DHW_Heating

4.680003832859745e+150

Building_1_Cooling_Load

2.9999055584252295e+149

Building_2_Equipment_Eletric_Power

2.2281032720241972e+150

Building_2_DHW_Heating

1.5984233069844646e+151

Building_2_Cooling_Load

5.731532115694768e+149

Building_3_Equipment_Eletric_Power

1.1396693957338656e+150

Building_3_DHW_Heating

6.560384454565263e+150

Building_3_Cooling_Load

4.748552934518439e+149

Solar_Generation

4.998347664915893e+147

Carbon_Intensity

2.2010249882357624e+150

Mean_Forecast_NRMSE

3.2495305113268586e+150

Mean_Equipment_Eletric_Power

1.655397290187088e+150

Mean_DHW_Heating

9.074873785756551e+150

Mean_Cooling_Load

4.493330202879479e+149