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Smart Grid Technologies with Cloud Computing Solutions
Coursera MOOC / Non-credit 0

Smart Grid Technologies with Cloud Computing Solutions

About this course

The Smart Grid Technologies with Cloud Computing Services specialization comprises five industry-focused courses that provide a comprehensive understanding of next-generation power systems and digital grid technologies. Learners begin by exploring the evolution of conventional power systems to intelligent Smart Grids, including grid architecture, control centers, standards, reliability, and modern grid operations. The specialization then covers communication networks, cloud computing, communication protocols, cybersecurity, and privacy mechanisms that enable secure and connected Smart Grid infrastructures. The program further introduces Distribution Management Systems (DMS), fault management, voltage regulation, reactive power compensation, and FACTS devices for improving power quality and operational efficiency. Learners will also study Advanced Metering Infrastructure (AMI), Phasor Measurement Units (PMUs), substation automation, smart homes, Energy Management Systems (EMS), and AI-driven Demand Side Management (DSM). Finally, the specialization focuses on the integration of Distributed Energy Resources (DERs), including Solar PV, wind energy, Virtual Power Plants (VPPs), and Electric Vehicles (EVs), along with renewable energy forecasting, microgrid architecture, IEEE-based operational frameworks, and practical modelling and simulation using industry-standard software such as MATLAB, ETAP, Python, and HOMER Pro.

B

75/100

CourseAsk score

What the provider tells you
39/45
Who stands behind it
20/35
How complete the listing is
16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

  • understanding of Smart Grid architecture
  • knowledge of Distribution Management Systems (DMS)
  • familiarity with Advanced Metering Infrastructure (AMI)
  • insight into the integration of Distributed Energy Resources (DERs)
  • competence in using tools like MATLAB and Python for grid modeling

Course objectives

  • to provide learners with a comprehensive understanding of Smart Grids
  • to explore the role of cloud computing in energy management
  • to develop skills necessary for modern energy infrastructure
  • to prepare learners for challenges in power system management
Cloud Computing Electrical Engineering #python #renewable energy #cloud computing #simulation #cybersecurity #MATLAB #modeling #smart grid #energy management #fault management #power quality #distributed energy resources #advanced metering #voltage regulation #AI-driven demand side management
$49.00

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