DocumentCode :
1795628
Title :
The comparison of medium-term energy demand forecasting methods for the need of microgrid management
Author :
Hossa, Tymoteusz ; Filipowska, Agata ; Fabisz, Karol
fYear :
2014
fDate :
3-6 Nov. 2014
Firstpage :
590
Lastpage :
595
Abstract :
Trends on the European energy markets show that renewable energy sources take an increasingly important position in the power supply. Recent developments concern inter alia formation of microgrids, where local energy sources meet the local energy consumption demand. Consequently, it is necessary to propose effective methods for predicting demand of small groups of prosumers. Accurate forecasts of a network load enable balancing the energy supply and demand in microgrids. This article aims at presenting the research results on comparison of different methods for energy demand forecasting in the medium-term horizon. The study was based on real data concerning one year´s households energy consumption. The results of this research were implemented as a part of the forecasting module in the Future Energy Management System.
Keywords :
demand forecasting; distributed power generation; energy management systems; load forecasting; power markets; power supply quality; renewable energy sources; European energy markets; energy management system; local energy consumption demand; local energy sources; medium-term energy demand forecasting methods; microgrid management; power supply; renewable energy sources; Correlation; Energy consumption; Forecasting; Microgrids; Production; Smart grids; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
Conference_Location :
Venice
Type :
conf
DOI :
10.1109/SmartGridComm.2014.7007711
Filename :
7007711
Link To Document :
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