Asset hierarchy
Represent portfolios, companies, SPVs, plants, substations, meters, devices, inverters, batteries, loads, contracts and market exposure in one structured model.
VoltMage Data Platform
Energy data management for renewable and BESS portfolios.
VoltMage Data Platform is a large-scale enterprise solution for organizing energy-specific data across assets, telemetry, markets, meters, IoT devices, weather feeds, commercial systems and automation workflows. It is built for high-volume ingestion, near real-time reporting, signal processing and the operational reality of modern renewable, storage and flexible-load portfolios.
A data foundation for complex energy organizations.
Energy companies rarely have one simple data problem. They have dozens of asset types, gateways, files, APIs, market calendars, settlement intervals, forecast versions, control systems and reporting obligations. The VoltMage Data Platform gives those inputs a common operating model so teams can trust what they see and automate what should no longer be manual.
High-volume ingestion
Handle frequent telemetry, meter reads, device events, market feeds, forecasts and operational records without forcing teams into spreadsheets or brittle point integrations.
Energy semantics
Keep data meaningful with units, intervals, time zones, settlement periods, asset relationships, quality flags and source lineage attached to every workflow.
What it organizes.
The platform is designed around the data categories that energy teams actually work with every day.
Built for ingestion, processing and reporting at scale.
The platform separates raw capture, validation, normalization, signal processing and serving layers. That architecture allows very large streams to keep moving while analysts, operators and automation services work from curated data products.
Ingestion and normalization
- Connectors for APIs, files, databases, vendor portals, IoT gateways and batch uploads.
- Stream and batch ingestion patterns for second-level telemetry, 15-minute settlement data and daily commercial datasets.
- Automatic handling of units, time zones, interval alignment, missing values, duplicate messages and source-specific quality flags.
Signal processing
- Real-time event classification for curtailment, outages, meter anomalies, production ramps, device faults and market events.
- Derived signals such as availability, expected vs actual production, imbalance exposure, battery cycle metrics and portfolio aggregation.
- Rules and model outputs that can feed alerts, dashboards, APIs and automated operational workflows.
Reporting layer
- Near real-time operational dashboards for asset performance, telemetry health, forecast error and market position.
- Scheduled reports for management, operators, investors, compliance and customer-facing portals.
- API-ready curated datasets for BI tools, trading desks, dispatch engines and enterprise data warehouses.
Automation foundation
- Event-driven workflows for notifications, escalations, data quality checks, forecast updates and dispatch recommendations.
- Policy-aware automation where control actions must respect asset constraints, commercial rules and operator approval gates.
- Full auditability for what data was used, when it changed and which downstream decision it influenced.
Designed for enterprise governance.
Large energy portfolios need more than dashboards. They need controlled access, reliable lineage, repeatable data contracts and operational confidence across many teams and vendors.
Governed access
Role-based views for owners, operators, traders, analysts, management teams, external partners and customer portals.
Data quality
Validation, completeness monitoring, anomaly detection, source health checks and transparent quality flags for operational trust.
Lineage and audit
Trace raw inputs, transformations, forecasts, manual overrides, automation events and report outputs back to their sources.
Integration options
Expose data through APIs, webhooks, exports, BI integrations and private data products for downstream enterprise systems.
Deployment flexibility
Support managed, private cloud and controlled enterprise deployment models depending on data sensitivity and operating requirements.
Energy workflow fit
Shape data around dispatch, forecasting, maintenance, commercial reporting, market participation and portfolio optimization.
Turn fragmented energy data into a real operating layer.
Bring representative assets, data sources, reporting requirements and automation targets. VoltMage can map the ingestion architecture, data model and rollout plan for a staged enterprise deployment.