If you are an energy supplier dealing with high costs to analyze individual household data for custom offers — this project developed data-driven digital services that provide personalized and comparable propositions. This allows you to offer tailored energy efficiency plans without manual data gathering.
Digital Tools for Personalized Home Energy Upgrades and Green Financing
Imagine trying to fix up your home to be green, but you're lost in a maze of confusing options and prices. This project builds a smart digital assistant that tells you exactly which upgrades fit your specific house and budget. It even helps you get the right loans to pay for the work, making the switch to clean energy as easy as shopping online.
What needed solving
Homeowners are overwhelmed by complex energy upgrade options, while service providers spend too much time and money manually analyzing household data to provide custom advice.
What was built
Digital services and apps with natural language interfaces that provide personalized home upgrade propositions and data-driven loan underwriting tools.
Who needs this
Who can put this to work
If you are a capital provider dealing with high risks in home renovation loans — this project developed cross-sector, data-driven loan underwriting approaches. This reduces entry barriers and unlocks more consumer investment in home upgrades.
If you are a renovation expert dealing with customers who lack the energy literacy to choose the right upgrades — this project developed apps with natural language interfaces. This helps your clients understand and select the best technical solutions for their specific home.
Quick answers
What is the cost or price of implementing these tools?
Based on available project data, specific pricing or implementation costs are not provided.
Can this be scaled to an industrial level?
The project is being tested across 4 diverse European countries (Latvia, Spain, Greece, Switzerland) to ensure the tools work across different climates and regulations, suggesting a path toward scaling.
How is the IP or licensing handled for the digital services?
Based on available project data, the specific IP and licensing terms are not mentioned.
How does this integrate with existing energy data?
The tools use federated, data-driven services from multiple, diverse service providers to create personalized propositions for citizens.
What is the timeline for deployment?
The project period runs from 2024-06-01 to 2027-11-30.
Who built it
The consortium is heavily industry-led, with 13 industry partners representing 68% of the group. The high concentration of SMEs (12 out of 19 partners) suggests a strong focus on commercial agility and market deployment rather than pure academic research, which is further supported by the inclusion of energy suppliers, ESCOs, and DSOs.
Contact EUROPEAN DYNAMICS LUXEMBOURG SA
Talk to the team behind this work.
Contact us to connect with the DECODIT consortium for pilot integration.