- ISSN: 2315-4462 (Print); 2373-3594 (Online)
- Abbreviated Title: Int. J Smart Grid Clean Energy
- Frequency: Semi-annual
- Editor-in-Chief: Prof. Danny Sutanto
- Managing Editor: Ms Jennifer Zeng
- DOI: 10.12720/sgce
- APC: 500 USD
- Indexed by: Inspec (IET), CNKI, Google Scholar, etc.
- E-mail: editor@ijsgce.com
Home > Published Issues > 2016 > Vol. 5, No. 2, April 2016 >
Very short-term load forecasting based on a pattern ratio in an office building
Author(s):Ah-Yun Yoon, Hyeon-Jin Moon, Seung-Il Moon
Department of Electrical and Computer Engineering, Seoul National Univ. #013, 1 Gwanangno, Gwanak-gu, Seoul, 08826, South Korea
International Journal of Smart Grid and Clean Energy, vol. 5, no. 2, April 2016: pp. 94-99ISSN: 2315-4462 (Print)
ISSN: 2373-3594 (Online)
Digital Object Identifier: 10.12720/sgce.5.2.94-99
Abstract:The pattern of electric demand needs to be analyzed to obtain a simple and precise Very Short-Term Load Forecast (VSTLF) for an office building because the electric demand of a small power system such as a building is difficult to express as a function. In order to develop an improved VSTLF, data from LG Electronics was analyzed. The proposed method is compared to the conventional method using a correlation between electric demand and temperature. The test results show that the proposed method based on a pattern ratio is better than the conventional method based on linear regression. MAPE of the proposed method is 9.0973%, while MAPE of the conventional method is 9.4533%.
Full Paper.pdf