Hour-ahead demand forecasting in smart grid using support vector regression (SVR)-Reference-Cited by-同舟云学术

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Hour-ahead demand forecasting in smart grid using support vector regression (SVR)

Published:2013-09-11 Issue:12 Volume:24 Page:1650-1663
ISSN:2050-7038
Container-title:International Transactions on Electrical Energy Systems
language:en
Short-container-title:Int. Trans. Electr. Energ. Syst.

Author:

Fattaheian-Dehkordi Sajjad¹²,Fereidunian Alireza¹³,Gholami-Dehkordi Hamid⁴,Lesani Hamid¹

Affiliation:

1. SMRL, CIPCE, School of ECE; University of Tehran; Tehran Iran

2. EE Department; Sharif University of Technology; Tehran Iran

3. Faculty of EE; K. N. Toosi University of Technology (KNTU); Tehran Iran

4. ECE Department; Power and Water University of Technology (PWUT); Tehran Iran

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/etep.1791/fullpdf

Reference65 articles.

1. Motamedi A Zareipour H Rosehart WD Electricity price and demand forecasting in smart grids To Appear in IEEE Transaction on Smart Grids

2. Demand response as a market resource under the smart grid paradigm;RahimiF;IEEE Transactions on Smart Grid,2010

3. The effect of the programs for demand response incentives in competitive electricity markets;Bompard;European Transactions on Electrical Power,2009

4. Electric Power System Planning

5. Short-term bus load forecasting of power systems by a new hybrid method;Amjady;IEEE Transaction Power System,2007

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