A set of algorithms and methodologies in the following categories: Improved energy disaggregation algorithms, efficient user behavior profiling using analytics, customizable recommendation engine, and convex formulation as an integer linear programming problem for the task allocation.
Addressing target audiences and expressing needs
- Business partners – SMEs, Entrepreneurs, Large Corporations
- Collaboration
New applications where this analytics tool can be reapplied.
- Public or private funding institutions
- Other Actors who can help us fulfil our market potential
- Academia/ Universities
R&D, Technology and Innovation aspects
Tested in 100 customers (households) as BENEFFICE complete system
Deployed techniques can be applied to any number of users, at any country, regardless of the current trends (e.g. seasonal, pandemic effect, etc.). All models are based on open-source solutions, can be easily updated and extended.
Models are built in a way easy to understand [their functionality] and apply any parameterization [if needed]. The deterministic architecture guarantees that similar input values generate similar results, regardless of the use case.
The outcomes of the proposed models provide insights into core elements, regarding the consumption behavior of any user. As such, the same techniques can be used as-is for the years to come.