Forecasting in the ontological nature of electrical engineering and informatics

This study discusses the role of ontologies in data analysis and forecasting in electrical engineering and informatics. Ontology in this context refers to a formally defined knowledge model for understanding, describing, and structuring the concepts, relationships, and entities involved in the forecasting learning process. This ontology helps understand and present the structured information required to develop, apply, and understand the forecasting process. In the fields of electrical engineering and informatics, the application of forecasting involves the use of various methods and techniques such as statistics, data analysis, mathematical modeling, artificial intelligence, and computing. Ontologies are essential in representing conceptual knowledge, facilitating knowledge integration, and improving data understanding and interpretation. As such, electrical engineering and informatics ontologies play a crucial role in supporting the understanding, development, and implementation of technologies in these disciplines and continue to contribute to the advancement of science and technology as a whole