Measure power consumption for each electrical appliance: Watt Analytics uses a variety of algorithms to securely identify individual electrical devices. A stored device database supports here.
How Does Watt Analytics Recognize Your Devices?
We use time series data of U, I, P and cos (φ) recordings between 1 and 4 Hz. These are recorded separately for each phase of an electrical installation. These records show the power consumption of all connected devices in the same phase as the superimposition (sum) of the individual power consumption of each device. By using statistic and pattern recognition methods, we reconstruct and isolate the individual power consumption per device.
We use time series data of U, I, P and cos (φ) recordings between 1 and 4 Hz. These are recorded separately for each phase of an electrical installation. These records show the power consumption of all connected devices in the same phase as the superimposition (sum) of the individual power consumption of each device. By using statistic and pattern recognition methods, we reconstruct and isolate the individual power consumption per device.
The distinction between individual devices is possible if they differ in their active and / or reactive power or show a different chronological course of energy consumption at the same level of consumption. In each household there are some devices that cannot be distinguished from each other due to its low performance e.g. LED lamps, cell phone power supplies, TV standby, etc. However, these devices do not represent a significant proportion of overall energy demands.
Below is information on which devices are detected and how to best train them:
OVEN
- Recognizable
- Each function (e.g., top/bottom heat, hot air) of a stovepipe is taught separately
- The power consumption of the individual functions is summed up per device but also displayed individually
- No automatic differentiation of the individual programs
- However, the power consumption of a program can be determined via the analysis function of the mobile app
- Use “live training” in the mobile app to train
COMPUTER, LAPTOP
- In planning
STEAMERS
- Recognizable
- Each component (heating element, water pump) of the steamer is individually trained
- The power consumption of the individual components is summed up per device but also displayed individually
- No automatic differentiation of the individual programs
- However, the power consumption of a program can be determined via the analysis function of the mobile app
- Use “live training” in the mobile app to train
CONSUMER ELECTRONICS
- In planning
HEATER
- Recognizable
- Each component (heating element, water pump) of the steamer is individually trained
- The power consumption of the individual components is summed up per device but also displayed individually
- No automatic differentiation of the individual programs
- However, the power consumption of a program can be determined via the analysis function of the mobile app
- Use “live training” in the mobile app to train
HOBS (HEAT)
- Recognizable
- Each element of the ceramic hob is taught separately
- The power consumption of the individual elements is summed up per device but also displayed individually
- Use “live training” in the mobile app to train
HOBS (INDUCTION)
- In planning
KITCHEN APPLIANCES WITH MOTOR IN STEP MODE
- Recognizable
- Use “live training” in the mobile app to train
KITCHEN APPLIANCES WITH MOTOR STEPLESS
- In planning
FRIDGE AND FREEZER
- Recognizable
- Cooling function and other functions (e.g., light, ice maker, etc.) are taught separately
- The power consumption of the individual functions is summed up per device but also displayed individually
- Use “live training” in the mobile app to train
LIGHT
- Recognizable
- All lights are taught together, which are operated together via one switch
- Use “Guided Training” in the mobile app to learn
MICROWAVE
- Recognizable
- Each watt level of the microwave is taught separately
- The power consumption of the individual watt levels is summed up per device but also displayed individually
- No automatic differentiation of the individual programs
- However, the power consumption of a program can be determined via the analysis function of the mobile app
- Use “live training” in the mobile app to train
WASHING MACHINE
- Work in progress, expected in 2021
- Recognition of the individual components (motor, heating element, pump)
- The power consumption of the individual components is summed up per device but also displayed individually
- No automatic differentiation of the individual programs
- However, the power consumption of a program can be determined via the analysis function of the mobile app
- Use “Historical Training” in the mobile app to train
WATER HEATER
- Recognizable, as far as powered by electricity
- Use “Historical Training” in the mobile app to train
CLOTHES DRYER
- Work in progress, expected in 2021
- Detection of the individual components (heating element, motor, blower)
- The power consumption of the individual components is summed up per device but also displayed individually
- No automatic differentiation of the individual programs
- However, the power consumption of a program can be determined via the analysis function of the mobile app
- Use “Historical Training” in the mobile app to train