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Optimization of energy consumption in industrial environment

Service description

We provide advanced solutions to optimize energy usage in industrial settings through real-time monitoring, data analytics, and predictive insights. This service reduces energy waste, lowers costs, and enhances sustainability by identifying inefficiencies and optimizing resource allocation.
Expected results: Lower energy consumption, reduced operational costs, optimized resource allocation, minimized energy waste, and enhanced sustainability through actionable insights and predictive analytics.
Methodology: Assessment: Perform an energy audit to understand the current energy consumption patterns, identify inefficiencies, and determine areas of improvement.
Energy Audit: Conduct an initial energy audit to identify consumption patterns and inefficiencies.
Data Collection: Deploy sensors and IoT devices to gather real-time energy consumption data.
AI Analytics: Use AI models to analyze energy data and identify optimization opportunities.
Implementation: Implement recommendations for energy reduction, such as system adjustments or equipment upgrades.
Continuous Monitoring: Continuously monitor energy consumption to ensure sustained optimization.
Target: Manufacturing & Automotive
  • Organisation: REPLY
  • Type: Experiment
  • SUT/E: Predictive AI models
  • Average duration: 4.0 -- 6.0 months
  • Contact: m.diflorio@reply.it

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Co-Funded by the European Union Under grant agreement number 101100707

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.

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