Operational Intelligence
Process mining, dispatch conformance, and prescriptive optimization
For: Operations Director · Continuous Improvement Manager · Energy Manager · Process Engineer
The challenge
Energy operations generate thousands of events daily — dispatch commands, equipment state changes, operator interventions, tariff transitions, alarm responses — but these events are logged across disconnected systems with no unified view of what actually happened versus what should have happened. An operator overrides an automated dispatch because "it didn't look right." A shift handover introduces a 45-minute gap in optimized scheduling. A process variant runs 12% less efficiently but nobody notices because the KPIs are aggregated at the facility level. The gap between designed operation and actual operation is where energy waste, compliance risk, and margin erosion hide — and traditional monitoring tools cannot see it because they measure outcomes, not processes.
Meridia modules that help
Energy Execution Intelligence
Process mining, dispatch conformance, prescriptive optimization
Facilities & Metering
Portfolio monitoring, meter hierarchies, EnPIs, power quality
Forecasting
Demand, generation, price, and weather forecasting
Demand Response & Flexibility
Load flexibility, demand response, virtual power plants
Regulatory Compliance
Compliance calendar, regulatory reporting, certification management
How it works
- 1
Reconstruct your operational processes
Ingest event logs from SCADA, BMS, dispatch systems, and operator consoles. Apply process mining algorithms to automatically discover the actual sequence of operations — not the designed sequence, but what really happens on the ground. Visualize process flows, branching points, and variant distributions.
- 2
Measure conformance gaps
Compare discovered process variants against the intended operating procedures and dispatch schedules. Identify where and how often actual operations deviate — operator overrides, timing mismatches, skipped steps, unauthorized process changes. Score every deviation in kWh wasted and cost incurred.
- 3
Quantify the value at stake
Calculate the energy cost, carbon impact, and compliance risk of each process deviation. Rank deviations by financial materiality to focus improvement efforts where they matter most. Surface the shift patterns, equipment sequences, and operator behaviors that drive the largest gaps.
- 4
Close the loop with prescriptive actions
Generate real-time prescriptive recommendations pushed to operators when a deviation is detected — before the waste accumulates. Track whether recommendations are followed and measure the before/after impact. Feed conformance data into compliance reporting to demonstrate continuous improvement.