Data Infrastructure and Governance in Flexible Energy
Flexible energy systems rely on high-frequency telemetry from sensors and control systems. Data quality challenges — including missing values, sensor faults, and anomalous spikes — require automated validation and anomaly detection pipelines. Poor data governance directly degrades forecasting and optimisation reliability.
The volume and velocity of time-series data necessitate distributed processing architectures. Cloud-native infrastructure and parallelised frameworks enable scalable ingestion, streaming analytics, and fault tolerance. Because decisions affect physical infrastructure, resilience is critical.
Interoperability further enhances system coordination. Standardised data models, API-driven architectures, and open data principles reduce integration friction between utilities, aggregators, regulators, and asset owners. Effective data governance underpins scalable Flexibility Markets.