Laude Energy Demand Forecasting and Explainability rApp
Leveraging time series models and Explainable AI (XAI), this rApp predicts long-term energy demand in mobile networks. XAI makes each prediction traceable and understandable, turning the complex models into actionable intelligence, allowing operators to make informed and proactive decisions for energy efficiency.
Proactive Energy Optimization
By forecasting long-term energy demand, the rApp enables network operators to plan and allocate power resources more efficiently. This proactive approach reduces energy waste, lowers operational costs, and supports sustainable network operations. Operators can prepare for high-demand periods in advance rather than reacting in real time.
Informative Decision-Making
The integration of explainable AI enables operators to comprehend the rationale behind energy predictions and recommendations. By identifying the key performance indicators that most significantly influence energy demand, the rApp fosters trust and accountability in AI-driven decisions. This makes network management more efficient and easier to interpret.
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Laude Technology Company was formed in 2022 from the merger of Blue Telecom and Quality Objects. With 300 professionals, it develops integrated tech solutions in telecom, industry, and AI. Headquartered in Madrid, it also operates in the Canary Islands, Stockholm, and Málaga, where it runs an Innovation Hub focused on AI. The company leads EU-funded projects in predictive AI for 5G/6G and generative AI for network operations. Its agile, client-focused approach has enabled successful deployments and strong partnerships with key industry players. |
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