Load Modeling and Development Analyst

Electric Reliability Council of Texas•Taylor, TX
•Hybrid

About The Position

Provides analysis and technical support for ERCOT’s operational and planning load forecasting processes to support reliable electric grid operations in compliance with NERC Standards, ERCOT Protocols, and Market Guides. Implements demand and load forecasting models and develops tools and procedures to monitor forecast performance, input data quality, model outputs, weather, and demand conditions in support of system operators. Develops solutions to current and future forecasting issues and reports findings and recommendations. Supports evaluation and adoption of advanced analytics and emerging forecasting tools to improve forecast quality, situational awareness, and operational decision support. The position provides technical expertise to the ISO and Load Forecasting team through forecast production support, monitoring, performance review, and the development, testing, implementation, documentation, and training of forecasting methodologies, models, tools, and procedures. It supports model runs, data quality checks, input/output validation, historical database updates, and analyses of historical load, weather, calendar, and operational event data. The role also contributes to energy and demand-response modeling, forecast metrics and reporting, operational recommendations, analytics, and process improvements.

Requirements

  • Bachelor’s degree in Statistics, Applied Mathematics, or Engineering, or an equivalent combination of education and experience providing equivalent knowledge.
  • Level 2 requires at least 1 year of job-related work experience beyond degree requirements.
  • Level 3 requires at least 3 years of job-related work experience beyond degree requirements.

Nice To Haves

  • Master’s degree in Statistics, Applied Mathematics, or Engineering.
  • Experience with load forecasting, weather-driven analytics, statistical or time-series modeling, large datasets, and data analysis tools such as Python, R, SQL, SAS, Excel, Power BI, Tableau, or similar tools.

Responsibilities

  • Provide technical support for operational and planning load forecast production, monitoring, and performance review.
  • Support the development, testing, implementation, documentation, and training of load forecasting methodologies, models, tools, and procedures.
  • Support load forecasting model runs, data quality checks, input/output validation, and historical database updates.
  • Review and analyze historical load, weather, calendar, and operational event data from ERCOT and relevant independent sources to validate, maintain, and improve statistical and time-series forecasting models.
  • Create estimates for the ERCOT Control Area annual energy and monthly, daily, hourly, and peak models, including economic forecasts and historical database updates and maintenance.
  • Develop and enhance demand response and other energy models, including models for plug-in electric vehicles, distributed generation, and other load modifiers.
  • Develop and maintain forecast performance metrics, reports, dashboards, and recurring analyses.
  • Support recommendations to Planning and/or Operations concerning load forecasts, demand response, load-modifier impacts, forecast uncertainty, and operational forecast risks, coordinating with the Operational Load Forecasting Lead, supervisor, or manager as appropriate.
  • Provide load forecast and demand response recommendations to Operations in coordination with the Operational Load Forecasting Lead, supervisor, or manager as appropriate.
  • Assist in developing economic-driven forecasting analytics, decision-support tools, processes, and procedures to improve forecast performance, input data quality, model review, and departmental efficiency.
  • Participate in multifunctional teams to gather input, address comments, and support forecasting studies, methodology changes, and process improvements.
  • Maintain knowledge of emerging trends and industry best practices in load forecasting, operational forecasting, and forecast analytics.
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