Renewable Solutions
Wind, solar, and battery storage assets operate under conditions traditional monitoring wasn't built to catch. Fischer Block gives renewable operators sub-cycle visibility into performance, power quality, and emerging faults — before they cause downtime.
Wind Energy
Wind assets operate under constantly shifting grid conditions, where unplanned downtime is costly and hard to diagnose after the fact. Fischer Block's sensing and prediction engine applies machine learning to electrical waveform signals at the interconnection point, surfacing pending problems with a systematic approach to pre-fault detection and avoidance.
- Continuous monitoring of dynamic interconnection conditions
- High-resolution waveform analytics at the point of connection
- Fault prediction and avoidance before a trip occurs
Solar Energy
Solar sites introduce power quality and interconnection challenges that traditional monitoring wasn't built to catch. Fischer Block combines sub-cycle waveform sensing with AI and machine learning to give operators an entirely new way to monitor, analyze, and act on plant data before it becomes a problem.
- Power quality monitoring at inverter and interconnection points
- AI and machine learning core engine for early anomaly detection
- Fault prediction and avoidance across DER assets
Battery Storage
Battery energy storage systems introduce failure modes and performance risks that traditional monitoring wasn't built to catch. Fischer Block applies sub-cycle waveform sensing and AI-driven analytics to give operators continuous visibility into battery performance, degradation, and power quality — before it affects system reliability.
- Continuous monitoring of battery performance and state of health
- Power quality and interconnection monitoring at the point of connection
- AI-driven anomaly detection and fault prediction
Understand what's happening before small problems become major events.
Talk with our team about deploying SMART Block® devices and the wave iQ® platform to create your organization's Insight Layer.