Data model (GIS)

Statistics

Epistemology

Interface (matter)

Maximum bubble pressure method

Mathematical analysis

World Wide Web

Process ontology

Philosophy

Artificial intelligence

Bubble

Parallel computing

Energy (signal processing)

Interoperability

Pure mathematics

Semantic Web

Ontology-based data integration

Information retrieval

Data science

Ontology

Interfacing

Annotation

Vocabulary

USable

Mathematics

Domain (mathematical analysis)

Computer science

Linguistics

Upper ontology

Computer hardware

Field (mathematics)

Energy and AI

Heterogeneous data, different definitions and incompatible models are a huge problem in many domains, with no exception for the field of energy systems analysis. Hence, it is hard to re-use results, compare model results or couple models at all. Ontologies provide a precisely defined vocabulary to build a common and shared conceptualisation of the energy domain. Here, we present the Open Energy Ontology (OEO) developed for the domain of energy systems analysis. Using the OEO provides several benefits for the community. First, it enables consistent annotation of large amounts of data from various research projects. One example is the Open Energy Platform (OEP). Adding such annotations makes data semantically searchable, exchangeable, re-usable and interoperable. Second, computational model coupling becomes much easier. The advantages of using an ontology such as the OEO are demonstrated with three use cases: data representation, data annotation and interface homogenisation. We also describe how the ontology can be used for linked open data (LOD).

Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis