ZOME Power Digital Transformations
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ZOME Power Digital Transformations
  • Home
  • Digital Transformations
  • Digital Twins
  • Team
  • News and Awards
  • About
  • Contact

Welcome to ZOME Power Digital Transformations

Digital Twins in Energy Management and Forecasting

A Digital Twin is a virtual representation of a physical system, process, or environment that is continuously updated with real-world data to enable monitoring, simulation, optimization, and forecasting. In energy systems, digital twins integrate data from IoT sensors, operational systems (e.g., SCADA, EMS), and external data (e.g., weather, market signals) to mirror and predict the performance of energy assets or networks in real time.

Welcome to ZOME Power Digital Transformations Software Company

Physical Asset

The real-world component represented by the digital twin—e.g., a solar

inverter, EV charging station, or oil pump.

Virtual Model

The mathematical and simulation-based model mirroring the behavior of

the physical system.

Data Synchronization

Continuous or periodic updating of the twin with real-time data

from sensors and IoT gateways.

Predictive Modeling

Use of AI or physics-based algorithms to forecast outcomes such as

power output or equipment failure.

Scenario Simulation

Running 'what-if' analyses on operational or design scenarios to

test outcomes.

Energy Forecasting

Integration of weather, production, and market data to predict

generation, consumption, and costs.

Fault Detection and Diagnostics (FDD)

Identification of anomalies or performance

degradation before downtime occurs.

Prescriptive Maintenance

Maintenance activities recommended automatically by the

twin based on predicted failures.

Optimization Loop

Control feedback where the twin predicts performance and triggers

real-world control actions.

Digital Thread

The continuous data lineage connecting the twin to all lifecycle systems

ensuring traceability.

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