Net AI EnergAIze rApp
The EnergAIze rApp forecasts Key Performance Metrics (KPMs), enabling autonomous control actions that optimize network resource allocation. By proactively managing cell states based on anticipated demand, the rApp can reduce energy consumption while maintaining service quality across the deployment.
Optimises energy usage of a network deployment
The rApp facilitates network deployment optimization by utilizing predictive inference to forecast future traffic demands, enabling proactive control actions that align resource allocation with actual requirements. By performing time-series analysis on cell throughput, the rApp identifies instances where a cell is projected to fall below a defined underutilization threshold. EnergAIze uses high-accuracy inference models designed to prevent underprediction, prioritizing high QoE while still achieving energy savings The rApp features a modular design, allowing swapping of pre-trained models to match specific deployment needs, with support for decision actions across both 4G and 5G networks.
Product information
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Ready for TrialNo
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AI EnabledYes
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Closed loopNo
Company
- Net AI
Category
- Network Optimization
Technology
- 4G
- 5G
Vendors Supported
- Ericsson
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Net AI is a network intelligence company developing advanced AI solutions for critical infrastructure operators. Our technology delivers highly accurate insights and predictive capabilities that help organisations optimise performance, reduce operational costs, and improve efficiency across complex networked environments. By combining AI-driven forecasting, automation, and intelligent resource management, Net AI enables operators to make faster, data-driven decisions and unlock greater value from their deployments. Our solutions support telecom, energy, data centre, and enterprise infrastructure systems, helping teams improve resilience, sustainability, and overall operational performance. |
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