Skip to content

Commit

Permalink
rm pvnet1 from Readme in nowcasting/production (#473)
Browse files Browse the repository at this point in the history
rm pvnet1 from nowcasting/production
  • Loading branch information
aryanbhosale authored Mar 4, 2024
1 parent c0d6d3c commit 016f470
Showing 1 changed file with 1 addition and 8 deletions.
9 changes: 1 addition & 8 deletions terraform/nowcasting/production/README.md
Original file line number Diff line number Diff line change
Expand Up @@ -65,13 +65,6 @@ National xg makes forecast from 0 to 36 hours. It is a XGBoost model that used S
and [Airflow Dag](https://github.com/openclimatefix/ocf-infrastructure/blob/main/terraform/modules/services/airflow/dags/forecastg-national-dag.py)
- AWS logs: [aws/ecs/forecast_national/](https://eu-west-1.console.aws.amazon.com/cloudwatch/home?region=eu-west-1#logsV2:log-groups/log-group/$252Faws$252Fecs$252Fforecast_national$252F)

### PVnet 1 (ECS Task)
Pvnet 1 is a backup forecast for PVNet 2 and makes forecasts from 0 to 8 hours. It is a CNN model that used Satellite, NWP, PV and GSP data. First GSP forecasts are made, and then a they are summed up to forecast the national PV generation.
- Code: [PVnet](https://github.com/openclimatefix/nowcasting_forecast)
- [Terraform](https://github.com/openclimatefix/ocf-infrastructure/tree/main/terraform/modules/services/forecast)
and [Airflow Dag](https://github.com/openclimatefix/ocf-infrastructure/blob/main/terraform/modules/services/airflow/dags/forecastg-gsp-dag.py)
- AWS logs: [aws/ecs/forecast/](https://eu-west-1.console.aws.amazon.com/cloudwatch/home?region=eu-west-1#logsV2:log-groups/log-group/$252Faws$252Fecs$252Fforecast$252F)

### Forecast Blend (ECS Task)
The Forecast blend service reads all of the above forecasts and blends them together apprioately.

Expand Down Expand Up @@ -104,4 +97,4 @@ The API loads forecasts and true values from the database and present the data i
- OCF Dashboard: This is use for internally looking at the forecasts. Also for managing `sites` and `users`.


The forecast is trained offline and the model weights are saved to s3. [Python Code](https://github.com/openclimatefix/pv-site-prediction)
The forecast is trained offline and the model weights are saved to s3. [Python Code](https://github.com/openclimatefix/pv-site-prediction)

0 comments on commit 016f470

Please sign in to comment.