ARPA-E PERFORM Forecast data

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/arpa-e-perform-dataset")

fs.listdir("s3://arpa-e-perform/")

Description:

The ARPA-E PERFORM Program is an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. A risk-driven paradigm allows operators to: (i) fully understand the true likelihood of maintaining a supply-demand balance and system reliability, (ii) optimally manage the system, and (iii) assess the true value of essential reliability services. This paradigm shift is critical for all power systems and is essential for grids with high levels of stochastic resources. Projects will propose methods to quantify and manage risk at the asset level and at the system level.

In support of the ARPA-E PERFORM project, NREL has produced a set of time-coincident load, wind, and solar generation profiles, including actual and forecasting time series. Both actuals and forecasts are provided in form of time-series with high temporal and spatial fidelity. Both deterministic and probabilistic forecasts are contained in the dataset.

Contact:

The ARPA-E PERFORM Program is an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. A risk-driven paradigm allows operators to: (i) fully understand the true likelihood of maintaining a supply-demand balance and system reliability, (ii) optimally manage the system, and (iii) assess the true value of essential reliability services. This paradigm shift is critical for all power systems and is essential for grids with high levels of stochastic resources. Projects will propose methods to quantify and manage risk at the asset level and at the system level.

In support of the ARPA-E PERFORM project, NREL has produced a set of time-coincident load, wind, and solar generation profiles, including actual and forecasting time series. Both actuals and forecasts are provided in form of time-series with high temporal and spatial fidelity. Both deterministic and probabilistic forecasts are contained in the dataset.

Update Frequency:

As needed

Managed By:

https://www.nrel.gov/

Collabs:

• ASDI:
  • Tags: energy

Resources:

1. resource:

   • Description: ARPA-E PERFORM Forecast data
   • ARN: arn:aws:s3:::arpa-e-perform/
   • Region: us-west-2
   • Type: S3 Bucket

2. resource:

   • Description: Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT)
   • ARN: arn:aws:s3:::arpa-e-perform/ERCOT/
   • Region: us-west-2
   • Type: S3 Bucket

3. resource:

   • Description: Forecasts and Actuals for The New York Independent System Operator (NYISO)
   • ARN: arn:aws:s3:::arpa-e-perform/NYISO/
   • Region: us-west-2
   • Type: S3 Bucket

4. resource:

   • Description: Forecasts and Actuals for The Midcontinent Independent System Operator (MISO)
   • ARN: arn:aws:s3:::arpa-e-perform/MISO/
   • Region: us-west-2
   • Type: S3 Bucket

5. resource:

   • Description: Forecasts and Actuals for The Southwest Power Pool (SPP)
   • ARN: arn:aws:s3:::arpa-e-perform/SPP/
   • Region: us-west-2
   • Type: S3 Bucket

Tags:

aws-pds, energy, environmental, sustainability, geospatial, model, solar

Tools & Applications:

1. tools & applications:
   • Title: ARPA-E PERFORM
   • URL: https://arpa-e.energy.gov/technologies/programs/perform
   • AuthorName: ARPA-E
   • AuthorURL: https://arpa-e.energy.gov