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EPI Lab
Van der Aalst Energy Process Intelligence Laboratory

EPI Lab

Process Intelligence for New Power Systems

Van der Aalst Energy Process Intelligence Laboratory at North China Electric Power University addresses the need for safe, efficient, and low-carbon operation of new power systems by studying multi-object energy operational processes formed by coupled business activities, physical operations, information interactions, and decision-control behaviors, enabling process visibility, anomaly explainability, and controllable decision-making, and supporting trustworthy intelligence for source-grid-load-storage operations and coordination.

Process VisibleAnomalies ExplainableDecisions Controllable
ResearchContact
SourceGridLoadStorageBusiness ActivitiesPhysical OperationsInformationInteractionsDecision BehaviorsProcessVisibleAnomaliesExplainableDecisionsControllableObject-Centric EnergyProcesses
01

Four-flow Coupling

Business, energy, information, and decision flows enter one process intelligence frame.

02

Object-centric Process

Reveal object-centric processes within and across source-grid-load-storage domains.

03

Explanation & Risk Analysis

Business deviations, physical anomalies, information mismatches, and decision risks become explainable.

04

Safe Optimization

Decisions remain verifiable, reversible, and bounded by safety rules.

What is Energy Process Intelligence?

Energy Process Intelligence builds object-centric event logs for real-world energy operations, capturing how objects, events, constraints, and lifecycles interact in new power systems to support process modeling, anomaly explanation, risk analysis, and human-in-the-loop safe optimization.

Energy DataEnergy Object-CentricEvent LogsObject-Centric EnergyProcess ModelsExplanation & RiskAnalysisHuman-in-the-loopSafe Optimization

Why Energy Process Intelligence?

Invisible Processes
Operations within and across source-grid-load-storage domains involve business activities, physical operations, information interactions, and decision-control behaviors that are difficult to represent with traditional methods.
Unexplained Anomalies
Operational anomalies, process deviations, information mismatches, and decision risks often span devices, work orders, dispatching, markets, and environmental factors, requiring unified explanation and risk analysis.
Uncontrollable Decisions
Energy systems require safe, trustworthy, verifiable, and reversible AI-supported decisions beyond black-box prediction.

News

Mengyao Wen Receives the 2026 Beijing Outstanding Graduate Award

Prof. Long Cheng Attends the First Editorial Board Meeting of IET Smart Energy Systems

NCEPU Holds Appointment Ceremony for Professor Wil van der Aalst and Inauguration Ceremony of the Van der Aalst Energy Process Intelligence Laboratory

Undergraduate Student's Work Featured by CPPCC News

NCEPU Master's and Doctoral Thesis LaTeX Templates Released

Two Lab Members Awarded 2025 National Scholarship

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Datasets & Tools

Under Development
OCEL
Object-centric event log specification for energy systems.
Under Development
Toolkit
A toolkit for energy process modeling, mining, explanation, and optimization.
Under Development
Benchmarks
Benchmark tasks for wind farm O&M, wind-storage coordination, and renewable station cluster response.
Under Development
Demonstrations
Demonstration applications for real-world energy process intelligence scenarios.

Build Energy Process Intelligence together

The laboratory welcomes Ph.D. students, master's students, undergraduate students, and visiting scholars each year.

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