Grid Forecasting & Analysis Engineer

Electric Reliability Council of Texas; Taylor, Northern (TX, KY); Hybrid; USD 87,000 - 120,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

Retirement Savings Plan

Long/short-term disability

Job summary

Electric Reliability Council of Texas is seeking an engineer to analyze wind and solar forecast performance, develop advanced forecasting methods using machine learning, and integrate their impacts into grid operations. You will model the system, run studies, and provide actionable insights to ensure reliable operations in compliance with ERCOT standards.

Required is a Bachelor's in Electrical Engineering with 1–3 years in power systems, plus experience in data analytics, Python, ML, and

Qualifications

• Bachelor's Degree in Electrical Engineering or related field.
• Experience with data analysis and large data sets.
• Experience with Python and machine learning.
• Experience with wind/solar forecasting and power system analysis.

Responsibilities

• Analyze wind and solar forecast performance and improve forecasting methodologies.
• Support grid operations with modeling, studies and tooling for reliability.
• Collaborate on planning and operation studies and report findings.

Skills

Data analysis

Python

Machine learning

Forecasting

Education

Bachelor's Degree in Electrical Engineering

Tools

Powerworld

PSSE

Job description

Electric Reliability Council of Texas is seeking an engineer to analyze wind and solar forecast performance, develop advanced forecasting methods using machine learning, and integrate their impacts into grid operations. You will model the system, run studies, and provide actionable insights to ensure reliable operations in compliance with ERCOT standards.

Required is a Bachelor's in Electrical Engineering with 1–3 years in power systems, plus experience in data analytics, Python, ML, and