Please provide a RRL matrix for the following examples. Follow the format in the image provided and provide sources from ieee

Example 1: Smart Energy Meter provides real time billing and load control:

Approach:

Develop an energy meter which is microcontroller based and can monitor energy consumption, transmit data wirelessly and can allow automatic payment and remote loading of targets through mobile or web interface.

The system integrates:

• A current sensor (e.g ACS712) and voltage sensor
• A microcontroller (e.g., Arduino or ESP32)
• GSM/Wi-Fi module for communication
• Cloud/database for billing data storage
• A mobile/web interface for the user control.

Solution in Detail

• Measurement Unit: Voltage and current are read by sensors, and they are used to compute real-time power.
• Controller Unit: The microcontroller processes and sends data to the cloud.
• Communication Module: Sends usage data to the server and gets control commands.
• Billing System: A cloud-based solution dynamically determines the user's bill.
• User Interface: A simple app or website shows usage data and allows a load cutoff in the case of overload or billing problems.

This system allows:

• Real-time monitoring
• Alerts for overuse
• Automated billing without meter readers
• Load disconnection in the event of defaulters.
• It eliminates inefficiency and manual errors in billing, making power management better.

Example 3: IoT-Based Home Automation System for Energy Efficiency

Approach:

Create a smart home system using IoT to control lighting, appliances, and HVAC systems remotely, with features for energy monitoring and scheduling.

Use:

• Microcontroller (ESP8266/ESP32)
• Relays for appliance control
• Wi-Fi communication
• Sensors for temperature/light
• App or web interface for control

Solution in Detail

1. Central Controller: Handles automation rules and sensor inputs.
2. Actuators: Control appliances based on inputs or remote commands.
3. App Interface: Allows users to turn devices on/off, set timers, or enable energy-saving modes.
4. Data Analytics: Collects usage data to suggest optimizations.

This reduces energy waste by allowing smart control and scheduling. It also provides convenience and security features like remote control and alerts.

Provide TITLE, METHODOLOGY, RESULT/CONCLUSION, RECOMMENDATION, GAPS, LINKS