Energy & Utilities

Intelligent Energy & Utility Systems

 • AIoT • Private 5G • Embedded Intelligence for Grid & Renewable Infrastructure

AIoT for Intelligent Energy Systems
Program Vision

What This Program Enables

Monitor distributed assets in real time

Optimize grid performance

Improve renewable reliability

Detect anomalies early

Deploy secure private networks for substations

Achieve energy efficiency and ESG goals

Who Is This For

Target Organizations

Smart grid operators

Renewable energy companies (wind, solar, hydro)

Substation operators

Hydrogen production facilities

District energy providers

Level 1

Digital Transformation in Energy & Utilities with AIoT & Private 5G

60 Minutes
Target: CTO / CIO, Grid Operations Director, Renewable Energy Manager

Part 1   Industry Context

10 min

  • Energy transition & decarbonization
  • Grid modernization pressure
  • Distributed asset challenges
  • Regulatory & ESG requirements

Part 2   Technology Stack

15 min

  • Smart grid IoT integration
  • Edge AI for fault detection
  • Private 5G for substations
  • LPWAN for distributed monitoring
  • Energy KPI dashboards

Part 3   High-Impact Use Cases

20 min

  • Renewable asset monitoring
  • Substation connectivity
  • Predictive maintenance for turbines
  • AI-driven energy optimization
  • Smart grid IoT integration

Part 4   Deployment Roadmap

10 min

  • Phase 1: Sensor deployment
  • Phase 2: Wireless infrastructure
  • Phase 3: Edge intelligence
  • Phase 4: KPI validation & scaling

Part 5   IICT Enablement

5 min

  • Engineering upskilling
  • Lab-driven simulation
  • Pilot validation
  • KPI framework

Level 2

Applied AIoT & Private 5G for Energy & Utility Operations

8–12 Weeks
Target: Grid engineers, Renewable energy engineers, Infrastructure teams

Concept videos

Interactive handbook

Hands-on cloud/VM labs

Optional hardware integration

Capstone project

A

Smart Grid IoT Foundations

Module Block A
  • Sensor integration (voltage, current, vibration)
  • MQTT & secure data pipelines
  • Time-series persistence
  • Grid KPIs & visualization

B

LPWAN & Private 5G for Utilities

Module Block B
  • LPWAN for distributed monitoring
  • Private 5G for substations
  • Modem configuration & Linux interfaces
  • Latency & reliability optimization

C

Embedded AI for Asset Monitoring

Module Block C
  • ML for vibration & fault detection
  • Lightweight models
  • Edge inference deployment
  • Energy profiling

Capstone Project

Intelligent Substation Monitoring System

Deliverables

  • Sensor node deployment
  • 5G connectivity
  • Anomaly detection model
  • KPI dashboard
  • Performance report

Engagement Models

Flexible Program Formats

Executive Briefing

1-hour awareness session

Engineering Upskilling

8–12 week enablement

Transformation Program

Custom pilot + training + KPI validation

Strategic Positioning

This Program Is

An applied AIoT & Private 5G engineering enablement program for energy and utility operations

Generic energy training

Generic IoT theory

A telecom-only program

IICT enables energy and utility operators to deploy intelligent, connected monitoring systems through applied AIoT and Private 5G engineering enablement.

Meet the instructor

—

IICT  GmbH, Germany

About  the Company
IICT GmbH (International IoT & Communication Technologies) is a Germany-based technology company creating testbeds and hands on labs in IoT, next-generation wireless systems, embedded AI and AIoT. With deep expertise in 5G/6G, LPWAN, Embedded Systems, and Edge AI, IICT designs industry-aligned lab infrastructures and hands-on training programs for universities and technical institutions worldwide.

IICT’s Virtual and Hardware Lab Courses are developed by industrial and research experts using real-world tools, open-source platforms, and industrial-grade frameworks. Through its global Lab-as-a-Service (LaaS) model and Centres of Excellence, IICT enables academic institutions to deliver cutting-edge, project-driven learning experiences—empowering students to build careers in emerging technologies.