Authors:
Abhilash Kantamneni
1
and
Laura E. Brown
2
Affiliations:
1
Department of Geography, University of Guelph, 50 Stone Road E., Guelph and Canada
;
2
Department of Computer Science, Michigan Technological University, 1400 Townsend Drive, Houghton, MI and U.S.A.
Keyword(s):
Ontology, Solar Irradiation, Forecasting, Renewable Energy, Microgrids.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontology Sharing and Reuse
;
Symbolic Systems
Abstract:
The growth of solar energy resources in recent years has led to increased calls for accurate forecasts of solar irradiance for the reliable and sustainable integration of solar into the national grid. A growing body of academic research has developed models for forecasting solar irradiance, identified metrics for comparing solar forecasts, and described applications and end users of solar forecasts. Ontologies are explicit and formal vocabulary of terms and their relationships that facilitate better communication, improve interoperability, and refine knowledge reuse by experts and users of the domain. This paper describes a step towards using ontologies to describe the knowledge, concepts, and relationships in the domain of solar irradiance forecasting to develop a shared understanding for diverse stakeholders that interact with the domain. A preliminary ontology on solar irradiance forecasting, SF-ONT, was created and validated on three use cases.