Welcome to the Course on “Cloud Computing and Communication Protocols for Next-Generation Smart Grids”. This course provides a comprehensive understanding of smart grid communication technologies, cybersecurity, privacy protection, and cloud computing services used in modern power systems. It covers smart grid communication requirements, standards, architectures, wired and wireless communication technologies, communication networks, security challenges, threat and risk assessment, resilience mechanisms, and cloud-based smart grid applications. The course also introduces cloud computing architecture and deployment models supported with case studies such as cloud-based demand response, load balancing, dynamic pricing, energy meter management, and virtual power plant applications in contemporary smart grid infrastructures.

Cloud Computing and Comm. Protocols for Next-Gen Smart Grids

Cloud Computing and Comm. Protocols for Next-Gen Smart Grids

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Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Learn smart grid communication technologies, protocols, cloud computing, and networking for reliable power system monitoring and control
Understand cybersecurity, cloud services, IoT connectivity, and communication standards for secure and intelligent smart grids.
Skills you'll gain
- Telecommunications
- Electrical Systems
- Energy and Utilities
- Interoperability
- Internet Of Things
- Communication Systems
- Cloud Computing Architecture
- Cyber Engineering
- Electric Power Systems
- General Networking
- Network Protocols
- Cloud Deployment
- TCP/IP
- Electrical Power
- Cloud Management
- Cloud Computing
- Wireless Networks
- Network Infrastructure
- Threat Modeling
Tools you'll learn
Details to know

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Recently updated!
August 2026
Assessments
4 assignments
Taught in English
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This course is part of the Smart Grid Technologies with Cloud Computing Solutions Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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