| Autor: |
Safiullin, Marat Rashitovich, Sharapov, Azat Rafikovich, Elshin, Leonid Alekseevich, Abdukaeva, Alia Aidarpovna |
| Předmět: |
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| Zdroj: |
Procedia-Environmental Science, Engineering & Management; 2021, Vol. 8 Issue 4, p1047-1052, 6p |
| Abstrakt: |
Given the growing importance of improving energy efficiency in industry, there is a need to develop methods to design, modify and continuously improve procedures that interact with energy sources. Improving an organization's ongoing actions (for energy efficiency) can be pursued at both process and data levels. At the process level, processes within the organization that relate to high-energy sources can be designed, monitored, and modified with an organizational engineering approach. At the data level, the information needed to make decisions about energy efficiency from the environment needs to be identified and made available to energy managers to make relevant decisions. An ontology approach is used to enrich the data collected from the environment and present it to energy managers at the data level. Suppose the data collected from the environment is enriched in some way and flows in line with the business flow to provide useful information to managers to support the decision. In that case, we can expect more appropriate decisions to be made in this area. In this research, a model has been designed for an intelligent energy management system that, in addition to complying with energy management standards in process design, also supports the enriched flow of data required by the system. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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