01
Unified grid model
Represent buses, branches, generators, loads, controls and topology as a simulation-neutral core model.
Power-system data operating layer
The data hub for AI-native power-system simulation.
X-Power AI unifies grid models, operating scenarios, time-series states, and simulation artifacts into one engineering-grade data layer — built for steady-state, short-circuit, electromechanical transient, EMT, and chronological operation workflows.
Scope
From network cases to time-indexed operational states
Bridge
PSS®E, pandapower, PSD-BPA and custom pipelines
AI
Traceable assistants for data QA, scenario assembly and studies
x-power-cli / scenario-fabric
Snapshot synthesis
Convert chronological operational data into precise study-ready states.
$ x-power ingest --source psd-bpa --case regional.raw
✓ parsed network model · validated topology · mapped devices
$ x-power scenario build --window 2026-peak-week
✓ generated 1440 operating states · ready for simulation routing
✓ parsed network model · validated topology · mapped devices
$ x-power scenario build --window 2026-peak-week
✓ generated 1440 operating states · ready for simulation routing
Platform
One data spine for multiple simulation regimes.
Power-system studies fail when data lives in isolated formats, one-off scripts, and simulator-specific files. X-Power AI treats cases, events, time-series records, parameters, and results as governed data products.
02
Scenario fabric
Compose operating states, contingencies, fault conditions and chronological windows without losing lineage.
03
Simulator routing
Route the right data slice into steady-state, short-circuit, transient or time-series execution pipelines.
04
Result memory
Store outputs, diagnostics, assumptions and engineering notes as reusable evidence for future studies.
Workflow
From raw engineering files to high-fidelity studies.
The platform is designed around traceable conversion: ingest what exists, normalize it, derive study states, execute specialized simulations, and preserve every assumption for review.
INGEST
Cases & telemetry
Import simulator files, network records, equipment parameters and chronological operating data.
NORMALIZE
Power-system IR
Map heterogeneous data into a consistent, validated domain representation.
COMPOSE
Scenario states
Build single-time snapshots or long-window sequences with full provenance.
SIMULATE
Targeted studies
Dispatch data into solver-specific workflows for deeper analysis.
LEARN
AI-assisted loop
Use structured history to improve QA, recommendations and repeatability.
Adapters
Connect established tools without making them the center.
X-Power AI is not another simulator silo. It is the data and workflow layer around simulators — keeping formats, model lineage, scenario intent and execution results coherent across tools.
PSS®EExchange network cases and study-oriented snapshots for planning workflows.
pandapowerBridge Python-based modeling, automation and analysis into the central data layer.
PSD-BPAParse and manage legacy-grade power-flow and transient data with rigorous semantics.
Chronological pipelinesConvert long-horizon operation records into single-state simulations and scenario batches.
AI Layer
AI where it earns trust: data, workflow, evidence.
The AI layer should not hallucinate power-system physics. It should help engineers inspect data, assemble scenarios, explain differences, and operate repeatable simulation workflows with clear evidence.
Engineer-facing intelligence
- Case QA: topology checks, parameter anomalies, naming consistency and missing records.
- Scenario generation: assemble credible study states from time-series and planning assumptions.
- Result explanation: connect violations, instability signals and sensitivity changes back to data lineage.
Machine-facing foundation
- Typed domain model for power-system assets, events, controls, snapshots and simulation outputs.
- Adapter-first architecture for simulator interoperability and incremental migration.
- Audit-ready execution history for repeatable studies, batch operations and future automation.
Built for the next generation of power-system engineering workflows.
Start with a CLI. Grow into a data platform. Keep every model, scenario, simulation and AI-assisted decision grounded in engineering evidence.