Journal of Information Systems Engineering & Management
Research Article
2017, 2(3), Article No: 18

Short Term Load Forecasting in Smart Grids: Case Study of the City of Évora

Published online: 02 Aug 2017
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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%.

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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. Journal of Information Systems Engineering & Management. 2017;2(3), 18. https://doi.org/10.20897/jisem.201718
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 & Management, 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 & 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 & 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 & Management, vol. 2, no. 3, 2017, 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. Journal of Information Systems Engineering & Management. 2017;2(3):18. https://doi.org/10.20897/jisem.201718
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.
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