Context
Households increasingly seek simple digital tools to manage home energy use for reducing costs and emissions.
Challenge
Optimising household energy consumption requires adapting usage to the most economical time bands, reflecting user‑specific energy needs, and taking account of periods of lower system emissions.
AI Solution
ASA is an AI‑driven assistant embedded in the Iberdrola app that predicts and optimises household energy consumption by automatically shifting demand to lower‑cost and lower‑emission time bands, while orchestrating connected home energy devices. The solution uses predictive algorithms informed by real‑time and forecast‑based signals and supports automation designed to preserve user comfort.
Impact & evidence
Reported impact include:
- Energy savings achieved: % reduction in household electricity consumption (e.g., 10–30%)
- Customer cost savings: average reduction in the electricity bill (€ / %)
- CO₂ emissions reduction: emissions avoided through optimised consumption and electrification
- Customer experience: user satisfaction and engagement via the app
Implementation / Adoption
Replication depends on the availability of data to train and customise the solution, interoperability and connectivity with connected home energy devices, and an advanced AI platform.
Data
Data sources needed is a combination of internal data and external data.
Future enhancements
Enhance solution by improvements in Customer Service provided.
