Journal of Information Systems Engineering and Management

Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora
Svetlana Roudolfovna Chemetova 1 * , Paulo Santos 1, Mário Ventim-Neves 2
More Detail
1 Instituto Politécnico de Setúbal, PORTUGAL
2 Universidade Nova de Lisboa, PORTUGAL
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2017 - Volume 2 Issue 3, Article No: 18
https://doi.org/10.20897/jisem.201718

Published Online: 02 Aug 2017

Views: 2976 | Downloads: 2021

How to cite this article
APA 6th edition
In-text citation: (Chemetova et al., 2017)
Reference: Chemetova, S. R., Santos, P., & Ventim-Neves, M. (2017). Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora. Journal of Information Systems Engineering and Management, 2(3), 18. https://doi.org/10.20897/jisem.201718
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Chemetova SR, Santos P, Ventim-Neves M. Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora. J INFORM SYSTEMS ENG. 2017;2(3):18. https://doi.org/10.20897/jisem.201718
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Chemetova SR, Santos P, Ventim-Neves M. Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora. J INFORM SYSTEMS ENG. 2017;2(3), 18. https://doi.org/10.20897/jisem.201718
Chicago
In-text citation: (Chemetova et al., 2017)
Reference: Chemetova, Svetlana Roudolfovna, Paulo Santos, and Mário Ventim-Neves. "Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora". Journal of Information Systems Engineering and Management 2017 2 no. 3 (2017): 18. https://doi.org/10.20897/jisem.201718
Harvard
In-text citation: (Chemetova et al., 2017)
Reference: Chemetova, S. R., Santos, P., and Ventim-Neves, M. (2017). Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora. Journal of Information Systems Engineering and Management, 2(3), 18. https://doi.org/10.20897/jisem.201718
MLA
In-text citation: (Chemetova et al., 2017)
Reference: Chemetova, Svetlana Roudolfovna et al. "Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora". Journal of Information Systems Engineering and Management, vol. 2, no. 3, 2017, 18. https://doi.org/10.20897/jisem.201718
ABSTRACT

Currently, load forecasting is a fundamental task for planning, operation and exploration of the electric power systems. The importance of forecasting has become more evident with the restructuring of the national energy sector, thus, promoting projects linked to smart grids, namely in Portugal - InovGrid. This study proposes the computational forecast model of the load diagram based on the Levenberg-Marquardt algorithm of Artificial Neural Networks. The used data are the time series of active power, recorded by EDP Distribution Telemetry System, and the climatic time series of the Portuguese Institute of the Sea and Atmosphere, collected on the city of Évora. The forecast horizon is short term: from one hour to a week. The results showed that main statistical error parameter (mean absolute percentage error) was not exceed 5%.

KEYWORDS
REFERENCES
---
LICENSE
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.