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    ARPA-E PERFORM Forecast data

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    Open data
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    Deployed on AWS
    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 tempo[...]

    Overview

    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.

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    Open Data Sponsorship Program

    This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.

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    Description
    ARPA-E PERFORM Forecast data
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::arpa-e-perform/
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://arpa-e-perform//
    Description
    [Forecasts and Actuals for The Electric Reliability Council of Texas (ERCOT)](https://github.com/PERFORM-Forecasts/documentation)
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::arpa-e-perform/ERCOT/
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://arpa-e-perform/ERCOT//
    Description
    [Forecasts and Actuals for The New York Independent System Operator (NYISO)](https://github.com/PERFORM-Forecasts/documentation)
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::arpa-e-perform/NYISO/
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://arpa-e-perform/NYISO//
    Description
    [Forecasts and Actuals for The Midcontinent Independent System Operator (MISO)](https://github.com/PERFORM-Forecasts/documentation)
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::arpa-e-perform/MISO/
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://arpa-e-perform/MISO//
    Description
    [Forecasts and Actuals for The Southwest Power Pool (SPP)](https://github.com/PERFORM-Forecasts/documentation)
    Resource type
    S3 bucket
    Amazon Resource Name (ARN)
    arn:aws:s3:::arpa-e-perform/SPP/
    AWS region
    us-west-2
    AWS CLI access (No AWS account required)
    aws s3 ls --no-sign-request s3://arpa-e-perform/SPP//

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    How to cite

    ARPA-E PERFORM Forecast data was accessed on DATE from https://registry.opendata.aws/arpa-e-perform .

    License

    Creative Commons Attribution 3.0 United States License

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