Exus Renewables North America is launching Anomaly+, the newest addition to its ExusIQ+ performance optimization suite, using predictive maintenance to save on operating its energy assets.
Exus Renewables North America
“With our ExusIQ+ suite, we’re not just building renewable energy projects, we’re advancing the science behind them,” said Jim Spencer, president and CEO of Exus Renewables North America. A developer’s job doesn’t end at commissioning. We have an obligation to continuously push operations forward by driving down costs, improving competitiveness, and delivering more value from every asset we touch.”
In solar facilities, Anomaly+ analyzes performance at the combiner box level to pinpoint underperforming strings or electrical components before issues spread to the inverter or array. The platform uses machine learning to continuously analyze operational data and identify anomalies.
“By applying advanced machine learning models, we’re able to generate performance baselines within hours of data acquisition and detect statistically significant anomalies in real time,” said Dhaval Bhalodia, head of operations at Exus Renewables North America. “This precision enables our engineers to isolate component-level variances, from individual combiner boxes to turbine sensors, and implement targeted interventions that reduce downtime and optimize asset performance.”
News item from Exus Renewables North America
