XEMAI – eXcellent Energy Management using AI

Purpose and goal

** Denna text är maskinöversatt ** The aim is to reinforce digitalization in the manufacturing industry as a basis for improving energy efficiency by introducing advanced digital technologies and processes, which in turn create a robust foundation for optimizing energy use and achieving sustainability. The project focuses on introducing and integrating AI into the manufacturing processes to enable deep data analysis and real-time monitoring. The goal is to develop models for energy analysis based on AI to make it easier for the industry to reach its sustainability goal.

Expected effects and result

** Denna text är maskinöversatt ** Expected impacts and results are: - A fully functional prototype of an AI platform capable of collecting, analyzing and optimizing energy use in manufacturing processes - Testing and validating the AI platform in real industrial environments to evaluate its effectiveness and reliability - Measurable improvement in energy efficiency of participating manufacturing companies - A set of guidelines and best practices for the implementation and use of AI for energy efficiency in industry

Planned approach and implementation

** Denna text är maskinöversatt ** The project consists of 6 work packages (WP) as follows: WP1: Project management WP2: Development of taxonomy and measurement strategy for Volvo´s activities WP3: Implementation of monitoring systems and establishment of databases for data collection WP4: Development of AI models to identify normal behaviors and detect deviations WP5: Analysis of collected data to identify opportunities for energy efficiency WP6: Integrating developed AI models into existing energy management systems