DrainSpotter empowers users to monitor their electricity usage over time, receive informative summaries of their consumer behaviour, and be automatically notified about anomalies detected by machine learning algorithms. DrainSpotter helps consumers reduce their energy bills thanks to personalised recommendations and reports:

- Inefficient heat pumps: when a user's heat pump excessively resorts to its auxiliary resistance to maintain indoor comfort during cold winter days.
- Unreasonable standby power: for example, when a user's consumption never drops below the usual level for several days in a row.
- Anomalous consumption trends: when the general long-term trend of a user's energy consumption drastically increases.
- Unexpected power peak: short anomalous high peaks of consumption could help spot a faulty electrical device.

DrainSpotter is a pilot project developed by Hive Power Sagl (https://hivepower.tech) in collaboration with Azienda Elettrica di Massagno SA (https://aemsa.ch/it)