AI/ML Technology in Power System Applications: 5 PDH

AI/ML Technology in Power System Applications: 5 PDH

$30.00

In this course the student will understand the role, potential, and challenges of Artificial Intelligence (AI) and Machine Learning (ML) technologies in modern power system applications. They will gain knowledge of various AI/ML techniques, their practical uses in grid operations, and the importance of safety, security, and trust in deploying these technologies within critical infrastructure.Instructor: Juan Pesante, PE

SPECIFIC KNOWLEDGE OR SKILL OBTAINED

This course teaches the following specific knowledge and skills:

    • Explain AI/ML concepts and techniques for power systems.
    • Apply supervised and unsupervised learning methods.
    • Evaluate AI/ML applications in fault detection and asset management.
    • Analyze AI/ML’s role in renewable forecasting and stability.
    • Understand safety, security, and trust in AI/ML deployment.
    • Explore emerging trends and research in AI-powered grid systems.

CERTIFICATE OF COMPLETION

You will be able to immediately print a certificate of completion after passing a 20 question multiple-choice quiz. The quiz can be retaken unlimited times until a passing grade of 70% or better is earned. This course satisfies five (5) hours of professional development (PDH).

Preview Course
Click “Preview Course” to view prior to purchase
Click “Add to Cart” to purchase
SKU: EE1655 Categories: ,

Related Courses

  • Forecasting Solar Radiation and Photovoltaic Power: 5 PDH

     $30.00 Add to cart
    Solar resource forecasting is critical for the operation and management of solar power plants and electric grids. In this course the student will understand the basic concepts and various methods of solar irradiance forecasting as well as forecasting the power production of Photovoltaic (PV) power plants.Instructor: Juan Pesante, PE

    SPECIFIC KNOWLEDGE OR SKILL OBTAINED

    This course teaches the following specific knowledge and skills:

      • Explain empirical and physical solar forecasting methods
      • Explain statistical and machine learning methods
      • Discuss forecasting the production of a PV power plant
      • Discuss statistical error measures
      • Explain probabilistic solar forecasts

    CERTIFICATE OF COMPLETION

    You will be able to immediately print a certificate of completion after passing a 20 question multiple-choice quiz. The quiz can be retaken unlimited times until a passing grade of 70% or better is earned. This course satisfies five (5) hours of professional development (PDH).

    Preview Course
    Click “Preview Course” to view prior to purchase
    Click “Add to Cart” to purchase

  • Grid-Scale Energy Storage Technologies: 4 PDH

     $24.00 Add to cart
    In this course the student will gain a comprehensive understanding of current and emerging grid-scale energy storage technologies, their operational characteristics, applications, and the role these technologies play in enhancing power system flexibility and supporting renewable energy integration.Instructor: Juan Pesante, PE

    SPECIFIC KNOWLEDGE OR SKILL OBTAINED

    This course teaches the following specific knowledge and skills:

      • Explain key energy storage technologies and operational principles.
      • Compare performance metrics of storage systems.
      • Analyze applications for grid flexibility and stability.
      • Evaluate environmental and economic impacts.
      • Understand policy considerations in storage deployment.
      • Assess emerging trends and future storage technologies.

    CERTIFICATE OF COMPLETION

    You will be able to immediately print a certificate of completion after passing a 20 question multiple-choice quiz. The quiz can be retaken unlimited times until a passing grade of 70% or better is earned. This course satisfies five (5) hours of professional development (PDH).

    Preview Course
    Click “Preview Course” to view prior to purchase
    Click “Add to Cart” to purchase
Shopping Cart
Scroll to Top