For industrial manufacturers, energy is no longer just an operational cost. As prices become more volatile and sustainability targets more demanding, organizations need greater visibility into energy consumption to optimize production, reduce costs, and make better-informed decisions.
This means moving beyond reactive monitoring to establish consumption benchmarks, incorporate real-time energy prices into production planning, and provide actionable insights across the business.
To address this challenge, Noesis developed an Operational Energy Intelligence solution on the client's Azure ecosystem. By combining operational data with external sources such as intraday electricity prices, the platform delivers real-time energy monitoring, AI-powered anomaly detection, and production planning based on energy costs, enabling smarter and more efficient operations.
Main results
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Full Energy Visibility
Continuous oversight of energy consumption by production line and operational moment
Faster Deviation Detection
AI-driven anomaly detection and automated alerts cut the time to identify and correct energy waste
Democratized Energy Insights
Operational and management teams access energy data directly, reducing dependency on specialized expertise
Reduced Price Exposure
Teams can anticipate and respond to electricity price fluctuations proactively
Smarter Production Planning
Energy cost integrated into scheduling and shift decisions based on real-time cost dynamics
Stronger Sustainability Accountability
Transparent and auditable energy performance data supports cost and sustainability reporting
Built on a scalable, cloud-native architecture and fully integrated with existing operational tools, the solution is designed to grow with the business, expanding across additional production lines, sites, and use cases as energy management needs evolve.
Download the use case to see the full details of the solution and results achieved.
Data Analytics & AI Service
We help organizations unlock the full value of their data to drive faster decisions, improve performance and reduce costs with services that span Data Governance, Data Preparation, Data Discovery, Data Visualization, Big Data Architecture, Advanced Analytics, AI, Machine Learning, and Process Mining.
