Load Modeling and Development Analyst

ERCOT•Taylor, TX

5d•$89,000 - $122,000•Hybrid

About The Position

Provides analysis and technical support for ERCOT’s operational and planning load forecasting processes to help ensure 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 role supports load forecast production, monitoring, and performance review; development and implementation of forecasting methodologies and tools; model runs and data validation; analysis of historical load, weather, calendar, and operational event data; and creation of annual, monthly, daily, hourly, and peak energy estimates. It also supports demand response and load modifier modeling, forecast performance reporting, recommendations to Planning and Operations, economic-driven forecasting analytics, and cross-functional studies and process improvements. The position may be filled at Level 2 or Level 3.

Requirements

Bachelor’s degree in Statistics, Applied Mathematics, or Engineering, or equivalent education and experience providing knowledge equivalent to a major in such fields.
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.
Use judgment within defined procedures and practices to determine appropriate action.

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 expertise to the ISO and Load Forecasting team for operational and planning load forecast analysis, including forecast production support, monitoring, and performance review.
Support development, testing, implementation, documentation, and training for 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 other relevant independent sources to validate, maintain, and improve statistical and time-series load 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 models and other energy models, including plug-in electric vehicle, distributed generation, and other load modifier models.
Develop and maintain forecast performance metrics, reports, dashboards, and recurring analyses.
Support analyses and recommendations to Planning and/or Operations regarding load forecasts, demand response, load modifier impacts, forecast uncertainty, and operational forecast risks, in coordination 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 efficiencies.
Participate in multifunctional teams to obtain input, address comments, and support load forecasting studies, methodology changes, and process improvements.
Maintain knowledge of emerging trends and industry best practices applicable to load forecasting, operational forecasting, and forecast analytics.
Follow standard practices and procedures in analyzing situations or data, and contribute to assigned objectives and outcomes.