Date of Award


Document Type

Open Access Master's Report

Degree Name

Master of Science in Computer Science (MS)

Administrative Home Department

Department of Computer Science

Advisor 1

Laura E. Brown

Committee Member 1

Steven Goldsmith

Committee Member 2

Jay Meldrum


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.

In recent years, many disciplines are developing ontologies to facilitate better communication, improve inter-operabiity and refine knowledge reuse by experts and users of the domain. Ontologies are explicit and formal vocabulary of terms and their relationships. This report 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 was created and validated on three use cases.