Data Analytics and AI in Power System Operations Course

Training Outlines

Introduction

In today's rapidly evolving energy landscape, data analytics and artificial intelligence (AI) are becoming indispensable tools for optimizing power system operations. This 5-day professional course is designed to give participants a comprehensive understanding of how data analytics and AI technologies can be integrated into the management and operation of power systems to enhance efficiency, reliability, and sustainability.

Objectives

• Understand the fundamentals of data analytics in power system operations.
• Explore AI technologies and their applications in power systems.
• Gain insights into data-driven decision-making and predictive maintenance.
• Learn about real-time analytics and monitoring tools for power grids.
• Develop skills for implementing AI and data analytics in practical scenarios.

Course Outlines

Day 1: Introduction to Power Systems and Data Analytics

• Overview of power system operations
• Introduction to data analytics concepts
• Data collection and preprocessing in power systems
• Exploratory data analysis techniques
• Case studies on data analytics in power systems

Day 2: AI Technologies in Power Systems

• Basics of artificial intelligence and machine learning
• AI applications in load forecasting
• Voltage and frequency control with AI
• Introduction to neural networks and deep learning
• Hands-on session: Building a simple prediction model

Day 3: Data-Driven Decision Making and Predictive Maintenance

• Business intelligence and decision support systems
• Predictive maintenance strategies using data analytics
• Implementation of condition monitoring systems
• Case study: Reducing downtime with predictive analytics
• Workshop: Developing a predictive maintenance model

Day 4: Real-Time Analytics and Monitoring

• Introduction to real-time data processing
• Monitoring and control of power systems using IoT
• Real-time analytics for demand response management
• Implementing SCADA and PMU for real-time monitoring
• Hands-on session: Setting up a real-time monitoring dashboard

Day 5: Integration and Implementation of AI in Power Systems

• Challenges and opportunities in AI integration
• Cybersecurity considerations in AI-driven power systems
• Best practices for deploying AI solutions in the field
• Future trends: AI in renewable energy integration
• Capstone project presentations and course wrap-up

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Data Analytics and AI in Power System Operations Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.