An ontology for solar irradiation forecast models
Department of Computer Science
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.
IC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
An ontology for solar irradiation forecast models.
IC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 263-270.
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/3200
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Copyright © 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. Publisher’s version of record: https://doi.org/10.5220/0006937202630270