Training course on Smart Grids and IoT in Energy Management

Module 1: Introduction to Smart Grids and IoT in Energy Systems

Evolution of energy grids and the need for smart systems

Role of IoT in modern energy management

Case studies of smart grid deployment globally

Module 2: IoT Applications in Energy Monitoring and Control

Smart meters and connected devices

Real-time data collection and visualization

Demand-side energy management

Module 3: Renewable Energy Integration and Smart Grid Technologies

Managing distributed renewable energy sources

Microgrids, energy storage, and demand response

Grid balancing and efficiency improvement

Module 4: Data Analytics, AI, and Predictive Maintenance

Big data in energy systems

AI for energy forecasting and optimization

Predictive maintenance of energy assets

Module 5: Cybersecurity, Policy, and Future of Smart Grids

Risks and threats in IoT-enabled energy networks

Governance, regulations, and compliance standards

Future trends: blockchain, digital twins, and prosumer markets

Capstone exercise: Designing a smart grid solution for an energy network