Load Modeling and Development Analyst

About the role

At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow’s energy challenges while learning new skills and growing your career. ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.

Provides analysis and technical support for ERCOT’s operational and planning load forecasting processes to ensure continuing reliable operations of the electric power grid in compliance with NERC Standards, ERCOT Protocols and Market Guides. Implements appropriate demand and load forecasting modeling, develops tools and procedures to monitor forecast performance, input data quality, model outputs, weather and demand conditions in support of system operators. Develop solutions for current or future demand and load forecasting issues and appropriately reports findings and recommendations. Supports the evaluation and adoption of advanced analytics and emerging forecasting tools to improve forecast quality, situational awareness, and operational decision support.

Responsibilities

• Understands the basic principles, theories and concepts related to the profession and learns how to apply them within the ERCOT culture.
• Follows standard practices and procedures in analyzing situations or data from which answers can be readily obtained.
• Contributes to specific objectives and outcomes as directed.
• Provides technical expertise to the ISO and Load Forecasting team for operational and planning load forecast analysis, including forecast production support, monitoring, and performance review.
• Supports the development, testing, implementation, documentation, and training of load forecasting methodologies, models, tools, and procedures.
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Supports load forecasting model runs, data quality checks, input/output validation, and historical database updates.
• Reviews and analyzes historical load, weather, calendar, and operational event data from ERCOT and other relevant independent sources to validate, maintain, and improve statistical and time-series load forecasting models.
• Creates estimates for the ERCOT Control Area annual energy and monthly, daily, hourly, and peak models that involve economic forecasts, historical database updates and maintenance.
• Develops and enhances demand response models, and other energy models, including plug-in electric vehicles, distributed generation models, and other load modifier models.
• Develops and maintains forecast performance metrics, reports, dashboards, and recurring analyses.
• Supports analysis used to develop recommendations to Planning and/or Operations on load forecast, demand response, load modifier impacts, forecast uncertainty, and operational forecast risks, in coordination with the Operational Load Forecasting Lead, supervisor, or manager as appropriate.
• Provides load forecast and demand response recommendations to Operations, in coordination with the Operational Load Forecasting Lead, supervisor, or manager as appropriate.
• Assists in developing economic-driven forecasting analytics, decision-support tools, processes, and procedures that enhance forecast performance, input data quality, model review, and departmental efficiencies.
• Participates in multifunctional teams to obtain input, address comments, and support load forecasting studies, methodology changes, and process improvements.
• Maintains knowledge of emerging trends and industry best practices applicable to load forecasting, operational forecasting, and forecast analytics.

Experience

• 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 is preferred.
• Level 2: Requires minimum 1 year job-related work experience in excess of degree requirements.
• Level 3: Requires minimum 3 years job-related work experience in excess of degree requirements.

Education

• Bachelor’s Degree: Statistics, Applied Mathematics, or Engineering required.
• Master’s Degree: Statistics, Applied Mathematics, or Engineering preferred.
• A combination of education and experience that provides equivalent knowledge to a major in such fields is required.

Skills

• Python
• R
• SQL
• SAS
• Excel
• Power BI
• Tableau
• Statistical modeling
• Time-series modeling
• Weather-driven analytics
• Large dataset analysis

Pay

Expected Salary Range: $89,000 - $122,000

Schedule

Hybrid