Utilising AI to enhance energy systems,

including renewable energy integration and grid optimisation.

Skills Required:

  • Renewable energy systems knowledge (solar, wind, hydro, etc.)

  • AI-driven optimization algorithms for grid management

  • Simulation and modeling (MATLAB, Simulink)

  • IoT integration for smart grids

  • Energy market dynamics understanding

  • Data visualization tools (Tableau, Power BI)

Developing these skills:

  1. Learn Renewable Energy & Power Systems – Take online courses on solar, wind, hydro, and smart grids.

    Recommended courses:

    • Renewable Energy and Green Building Entrepreneurship (Coursera - Duke University)

    • Electric Power Systems (Coursera - University at Buffalo)

  2. Master AI & Simulation Tools – Learn MATLAB, Simulink, and Python for grid optimisation and modelling.

    Recommended courses:

    • AI for Energy & Sustainability (Udemy)

    • MATLAB for Engineers (Coursera - Vanderbilt University)

  3. Develop IoT & Data Visualisation Skills – Work with Arduino, Raspberry Pi, Power BI, and Tableau for energy analytics.

    Recommended courses:

    • Introduction to IoT (Coursera - University of Illinois)

    • Data Visualization with Power BI (Udemy)

  4. Work on Hands-on Projects – Build smart energy systems, contribute to open-source projects, and join hackathons.

    • Participate in open-source energy projects like GridLAB-D.

    • Join energy-focused hackathons such as Schneider Go Green.

  5. Gain Industry Experience – Apply for internships in renewable energy firms and sustainability consultancies.

    Websites to find internships:

    • GreenJobs

    • EnergyCentral

  6. Stay Updated with Trends – Follow energy policies, market trends, and AI advancements in power grids.

  7. Network & Join Professional Groups – Engage with IEEE, AEE, and sustainability conferences.

  8. Earn Certifications – Get recognised credentials from NABCEP, IRENA, or IEEE Smart Grid.

  9. Participate in Competitions – Join Schneider Go Green, IEEE PES, and global sustainability challenges.

  10. Apply Your Skills to Real-World Solutions – Work on industry projects to gain practical experience.

Popular jobs in the field

Renewable Energy Systems Engineer

Brief Description: Designs, develops, and implements renewable energy projects, including solar, wind, and hydro systems.

Key Skills and Responsibilities:

• Proficiency in renewable energy systems (solar, wind, hydro).

• Conduct feasibility studies and system design.

• Ensure compliance with environmental regulations.

Average Pay in the US: Approximately $102,067 per year. 

Job Openings: Indeed - Renewable Energy Systems Engineer Jobs

AI Energy Analyst

Brief Description: Utilizes artificial intelligence to optimize energy consumption and improve grid management.

Key Skills and Responsibilities:

• Develop AI-driven optimization algorithms for grid management.

• Analyze energy consumption data to identify efficiency improvements.

Average Pay in the US: Approximately $150,000 - $180,000 per year.

Job Openings: Indeed - AI Energy Analyst Jobs