Case Study Scenario:

Morning Routine:

1. Wake-Up Mode: The system detects motion in the bedroom and begins warming it up to the preferred temperature based on the resident’s preset.

2. Bathroom Comfort: As the resident enters the bathroom, the temperature control system adjusts to maintain a comfortable temperature.

3. Kitchen and Living Room: The system senses occupancy in these areas and ensures the temperature remains suitable.

Daytime Efficiency:

1. Work Mode: When the resident leaves for work, the system reduces energy consumption by adjusting the temperature according to predefined energy-saving settings.

2. Optimized Lighting: Light sensors adjust artificial lighting based on natural light availability, reducing electricity usage.

Evening Comfort:

1. Homecoming: As the resident returns home, the system detects occupancy at the front door, switching to the ‘Home’ mode and bringing the house to a comfortable temperature.

2. Cooking Mode: In the kitchen, the system adjusts the ventilation and temperature settings to accommodate cooking activities.

3. Entertainment Mode: When the resident settles in the living room for relaxation, the temperature control system maintains a pleasant environment.

Night Mode:

1.Sleep Mode: The system lowers temperatures in unoccupied rooms and ensures a comfortable temperature in the bedroom.

2.Energy Savings: Reduces heating/cooling output during the night to save energy while maintaining a comfortable sleeping temperature.

Adaptive Learning:

Over time, the system learns the resident’s preferences and optimizes the temperature control settings for each room. It also adapts to external factors such as seasonal changes and weather forecast.