Machine Learning Applications in Power System
ISO New England, Inc.
ISO New England is the not-for-profit, independent system operator responsible for ensuring the safe and reliable flow of electricity in our region and planning for the future of the electric grid. We are at the forefront of New England's ongoing transition to clean energy.
Internship Title - Machine Leaning Applications in Power System
Department - Advanced Technology Solutions
Minimum Education level: PhD
Preferred Majors: Power System Engineering
Department Description:
The Advanced Technology Solutions (ATS) department engages in both long-term research projects and near-term design/process improvements. The department consists of experts in three topic areas: power systems, simulations, and markets. In all projects, the goal of the department is to provide innovative and practical solutions to current and emerging questions for ISO New England.
What will you be working on:
The intern will be working on implementing machine learning techniques to solve power system engineering problems, e.g., resolving voltage violations through reactive device dispatching.
How will you make an impact:
The project targets to develop a voltage control tool that could quickly give recommended actions to control room operators to mitigate real-time base case and/or N-1 voltage violations.
What we look for in a candidate:
Good understanding and hands-on experience in applying machine learning to solve engineering problems.
Good programming skills.
Good understanding of basic power system concepts, power flow and steady-state analysis.
Familiar with power flow software e.g., PowerWorld.
#LI-DNP
Equal Opportunity: We are proud to be an EEO/AA employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Other details
Apply Now
Internship Title - Machine Leaning Applications in Power System
Department - Advanced Technology Solutions
Minimum Education level: PhD
Preferred Majors: Power System Engineering
Department Description:
The Advanced Technology Solutions (ATS) department engages in both long-term research projects and near-term design/process improvements. The department consists of experts in three topic areas: power systems, simulations, and markets. In all projects, the goal of the department is to provide innovative and practical solutions to current and emerging questions for ISO New England.
What will you be working on:
The intern will be working on implementing machine learning techniques to solve power system engineering problems, e.g., resolving voltage violations through reactive device dispatching.
How will you make an impact:
The project targets to develop a voltage control tool that could quickly give recommended actions to control room operators to mitigate real-time base case and/or N-1 voltage violations.
What we look for in a candidate:
Good understanding and hands-on experience in applying machine learning to solve engineering problems.
Good programming skills.
Good understanding of basic power system concepts, power flow and steady-state analysis.
Familiar with power flow software e.g., PowerWorld.
#LI-DNP
Equal Opportunity: We are proud to be an EEO/AA employer. Applicants for employment are considered without regard to race, color, religion, creed, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, citizenship, national origin, age, ancestry, marital status, disability (including learning, mental, intellectual, and physical), service in the uniformed services, genetic information, or any other status protected by applicable law.
Drug Free Environment: We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Other details
- Pay Type Hourly
- Job Start Date Tuesday, June 3, 2025
- Job End Date Friday, August 15, 2025
Apply Now
JOB SUMMARY
Machine Learning Applications in Power SystemISO New England, Inc.
Holyoke
4 days ago
N/A
Full-time