Overview
This use case is related to touristic resorts. It enables hotels, restaurants and ski resorts to optimise their energy consumption. The goal is to improve efficiency in villages and ski stations through decentralised analytics and continuous updates.
Expected Outcomes
- To foster the development and deployment of Smart Energy Services (SES) in urban, administrative, and tourism buildings, with pilot machine-learning outputs exposed to end users through SES.
- To improve control of electricity demand and production through LLMs, with Smart Readiness Indicator (SRI) levels measured before and after the deployment of the solutions.
- KPI: Increase the energy flexibility efficiency by 12%, measured using the Smart Readiness Indicator (SRI) to rate building smart readiness before and after deployment and measure fluctuation.
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