| Issue |
E3S Web Conf.
Volume 31, 2018
The 2nd International Conference on Energy, Environmental and Information System (ICENIS 2017)
|
|
|---|---|---|
| Article Number | 11010 | |
| Number of page(s) | 5 | |
| Section | 11. Smart Information Systems | |
| DOI | https://doi.org/10.1051/e3sconf/20183111010 | |
| Published online | 21 February 2018 | |
Power Distribution Analysis For Electrical Usage In Province Area Using Olap (Online Analytical Processing)
1
Master Program of Information Systems, School of Postgraduate Studies, Diponegoro University, Semarang - Indonesia
2
Department of Physics, Faculty of Science & Mathematics, Diponegoro University, Semarang, Semarang - Indonesia
3
Department of Physics, Faculty of Science & Mathematics, Diponegoro University, Semarang, Semarang - Indonesia
* Corresponding author: riza.upi@student.undip.ac.id
The distribution network is the closest power grid to the customer Electric service providers such as PT. PLN. The dispatching center of power grid companies is also the data center of the power grid where gathers great amount of operating information. The valuable information contained in these data means a lot for power grid operating management. The technique of data warehousing online analytical processing has been used to manage and analysis the great capacity of data. Specific methods for online analytics information systems resulting from data warehouse processing with OLAP are chart and query reporting. The information in the form of chart reporting consists of the load distribution chart based on the repetition of time, distribution chart on the area, the substation region chart and the electric load usage chart. The results of the OLAP process show the development of electric load distribution, as well as the analysis of information on the load of electric power consumption and become an alternative in presenting information related to peak load.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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