📅 Day 1: Foundations of Smart Infrastructure, IoT Sensing & Energy Data Connectivity
- Importance of Energy Efficiency in Smart and Sustainable Infrastructure
- Basics of Smart Buildings, Green Infrastructure, and Intelligent Energy Monitoring
- Introduction to IoT Architecture for Energy-Management Systems
- Role of ESP32, Virtual Sensors, and Smart Meters in Infrastructure Monitoring
- Real-Time Energy Telemetry and Sensor Data Communication
- Introduction to MQTT Protocol and Cloud-Based IoT Data Publishing
- How IoT Systems Collect, Transmit, and Monitor Energy Consumption Data
🛠️ Hands-on:
- Hands-on 1: Build a virtual smart meter using ESP32 and simulated energy sensors to understand how load data is captured and converted into useful telemetry.
- Hands-on 2: Publish simulated smart-meter readings to an MQTT broker and learn how real-time energy data moves from IoT devices to cloud-based monitoring systems.
🧰 Tools Covered: Wokwi, HiveMQ Cloud
📅 Day 2: AI-Based Energy Intelligence & Predictive Consumption Analysis
- Importance of AI in Reducing Energy Waste and Improving Infrastructure Efficiency
- Understanding Energy Usage Patterns, Peak Demand, and Operational Inefficiencies
- Basics of Data Preprocessing for Energy Consumption Datasets
- Predictive Modeling for HVAC, Cooling Load, and Energy Demand Forecasting
- Regression Analysis for Estimating Future Cooling or Power Requirements
- Anomaly Detection for Identifying Abnormal or Wasteful Device Behavior
- Clustering Techniques for Detecting Inefficient or Continuously Consuming Devices
🛠️ Hands-on:
- Hands-on 1: Train a basic regression model to forecast HVAC cooling requirements using simulated weather and energy-consumption data.
- Hands-on 2: Apply clustering-based analysis to identify abnormal energy usage, inefficient devices, and possible energy-wasting loads.
🧰 Tools Covered: Google Colab
📅 Day 3: Automated Control, IoT Integration & Green Infrastructure Dashboarding
- Importance of Feedback Loops in Intelligent Energy-Management Systems
- Automated Actuation for Reducing Power Consumption During Peak Demand
- Edge Logic for Smart Control of Lights, HVAC Systems, and Non-Essential Loads
- Integration of IoT Devices, MQTT Streams, and Automation Workflows
- Designing Centralized Dashboards for Energy Monitoring and Decision-Making
- Remote Override, Alerting, and Visualization for Smart Infrastructure Systems
- Security, Scalability, and Deployment Challenges in AI-IoT Green Technology Systems
🛠️ Hands-on:
- Hands-on 1: Create edge automation logic to reduce non-essential loads during peak pricing or high-demand conditions.
- Hands-on 2: Design a live green infrastructure dashboard to monitor energy consumption, device status, and infrastructure performance.
🧰 Tools Covered: Node-RED, HiveMQ Cloud, Adafruit IO
