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Eagan

    Principal Forecast Model Analyst - Eagan, MN, United States - MIDCONTINENT INDEPENDENT SYSTEM OPERATOR INC

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    Description

    Are you specialized in energy (load, wind, and/or solar generation, uncertainty) forecasting using artificial neural network (ANN), machine learning, and/or regression forecasting techniques? Are you committed to joining the RTO and tackling the load forecasting challenges, whether that is rooftop solar distributed across 15 states of the US, the electrification of transportation, data centers, etc., or the increasing extreme weather events? Would you like to join a high-performing team with diverse expertise in data science, meteorology, engineering, market and grid operations to transform traditional deterministic forecasting and grid operations into a dynamic and probabilistic way? We are searching for a Principal Forecast Model Analyst who will be an integral part of transforming MISO's load forecasting models to manage increasing behind-the-meter solar, data centers, and changing weather patterns.

    This role will apply data science, statistics, advanced mathematics, and simulation to enhance load forecasting models, recognize patterns, and quantify uncertainty.

    As our Principal Forecast Model Analyst , you will focus on load forecasting model enhancement equipped with advanced technologies, including Azure data platform, Machine Learning Studio, ITRON software, etc.

    You will have ample opportunities to collaborate across MISO, with industry and research entities, and directly help Control Room Operators to drive reliable and efficient operation decisions and market outcomes.

    The team has a clear vision and is driving innovative industry developments. The team's Uncertainty Platform project recently received a $3 million DoE grant and is featured in Bloomberg news.

    The team is proud of the value they add when delivering reliability especially during extreme weather events, while enjoying a great work-life balance when system conditions allow.

    temperature swings, non-confirmable load, or behind-the-meter solar) using statistical, algorithmic, data science, and other techniques.
    Tracking load forecasting performance or metrics to recognize patterns, address uncertainty, and recommend improvements.
    Able to work with control room operations and other areas to provide forecasts and risk assessments.
    Current with MISO Reliability Imperative and Future portfolio and familiar with MISO forecasting software and processes.
    Collaborating well with the team on projects under Uncertainty Management and Improve Forecasting.

    We are looking for hardworking candidates who have at least a bachelor's degree in Engineering, Statistics, Data Science, Economics, or a related field, along with at least eight years of experience in the energy field.

    Experience applying statistical methods, computer applications (e.g., Python, SQL), and tools in forecasting and analysis roles.
    MISO in 90 Seconds - YouTube (
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