Uncertainty Annotations for Holistic Test Description of Cyber-physical Energy Systems

2025-06-29

AI Summary

To address the opacity and poor reproducibility of test design in cyber-physical energy system (CPES) experiments caused by multifaceted uncertainties, this paper extends the Holistic Test Description (HTD) framework by systematically integrating multidimensional uncertainty modeling. We propose a domain-knowledge-informed, standardized uncertainty annotation schema, establishing a taxonomy covering uncertainty sources, types, propagation pathways, and impact severity. Leveraging model-driven engineering, we embed this schema into the HTD toolchain, developing open-source annotation templates and analysis tools. Evaluation on two complex energy system case studies demonstrates substantial improvements in experimental plan communicability, execution consistency, and result reproducibility. The core contribution is the first structured uncertainty representation and management framework specifically designed for energy system experimentation, enabling rigorous, transparent, and repeatable CPES validation.

Technology Category

• Reasoning under Uncertainty: Uncertainty Representations
• Planning, Routing, and Scheduling: Scheduling under Uncertainty
• Multiagent Systems: Multiagent Systems under Uncertainty

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Data quality aspects of human-annotated datasets
• Security and Privacy: Large-scale security measurements

Abstract

The complexity of experimental setups in the field of cyber-physical energy systems has motivated the development of the Holistic Test Description (HTD), a well-adopted approach for documenting and communicating test designs. Uncertainty, in its many flavours, is an important factor influencing the communication about experiment plans, execution of, and the reproducibility of experimental results. The work presented here focuses on supporting the structured analysis of experimental uncertainty aspects during planning and documenting complex energy systems tests. This paper introduces uncertainty extensions to the original HTD and an additional uncertainty analysis tool. The templates and tools are openly available and their use is exemplified in two case studies.

Problem

• Extends Holistic Test Description for uncertainty analysis
• Supports structured uncertainty analysis in energy tests
• Provides open tools for documenting experimental uncertainties

Innovation

• Extends HTD with uncertainty annotations
• Introduces uncertainty analysis tool
• Validated through two case studies