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The client operates wind farms with fragmented monitoring systems, causing data silos and delayed decision-making. Inaccurate energy forecasting due to weather fluctuations and grid constraints leads to increased costs and missed revenue opportunities. High maintenance expenses from unexpected equipment failures and lack of predictive capabilities hinder operational efficiency and sustainability goals.
A leading U.S. energy provider managing over 1.5 GW of wind farms and storage facilities, focused on optimizing asset performance and grid reliability through advanced technology and data-driven insights.
Anticipated outcomes include 10-15% increase in client base through improved service reliability, 5-10% higher energy production efficiency from optimized assets, and 15-20% revenue growth driven by accurate forecasting and reduced operational waste. Predictive maintenance should decrease emergency repairs by 30% while extending equipment lifespan by 15-20%.