DIGIWATT allows you to disaggregate the electricity consumption of a house and understand how much each appliance consumes without adding any sensor, in order to save energy and reduce CO2 emissions.
Any modern Smart Meter that communicates via MQTT protocol is compatible with our technology.
Every 8 seconds the Smart Meter automatically detects the house energy consumption.
Aggregated consumption data is stored in the cloud so that it can be analysed and its intrinsic value can be extracted.
DIGIWATT's algorithms disaggregate the energy consumption data and rebuild the individual consumption of each household appliance (oven, dishwasher, refrigerator, kettle, boiler, washing machine).
All analysed data are now available via A.P.I. (Application Programming Interface) for integration into third-party systems such as the Energy Company's mobile user app.
Through the mobile app, the user checks his aggregate and disaggregate consumption for each individual appliance, becomes aware of his energy use and starts saving.
DIGIWATT makes it possible to offer a valuable service to end customers, making them aware of their energy consumption characteristics and helping them to reduce energy wastage.
Behavioural data is useful for clustering and profiling the customer base and offering personalised services.
DIGIWATT identifies the appliances used in the home and measures their energy consumption.
This illustration shows the consumption of different household appliances that are switched on at different times of the day.
Our SaaS (Software as a Service) technology is billed on a volume basis allowing incremental adoption.
The information available via A.P.I. allows easy integration with any system for a fast prototyping/POC (Proof of Concept).
The data is processed anonymously to ensure maximum confidentiality.
Reports can be generated to find out about the User's habits in order to suggest more virtuous behaviour or any anomalies in progress.
It is not necessary to connect every appliance, a standard Smart Meter is sufficient to start identifying the consumption of individual appliances.
The aggregated data is analysed by Artificial Intelligence models in the Cloud that rebuild the consumption of each household appliance.
Analysis results are available via A.P.I. (Application Programming Interface) for an easy integration into any application.
“Everything is energy and that’s all there is to it. Match the frequency of the reality you want and you cannot help but get that reality. It can be no other way. This is not philosophy. This is physics.”