Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"Long Term Load Forecasting and Recommendations for China Based on Support Vector Regression"
written by Shijie Ye, Guangfu Zhu, Zhi Xiao,
published by Energy and Power Engineering, Vol.4 No.5, 2012
has been cited by the following article(s):
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[8] 2030 Energy Pathways in Côte d'Ivoire:“A Business as Usual” Analysis
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[9] 2030 Energy Pathways in Cô te d’ Ivoire: †œA Business as Usual†Analysis
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[13] Support Vector Regression and Genetic Algorithm for HVAC Optimal Operation
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[14] Estimation of Load Forecast–2020 Using Artificial Neural Network and Exploration
2016
[15] Computational Intelligence Techniques of Long-Term Electric Power Load Forecasting on Iraqi National Grid
2015
[16] Subspace Projection Method Based Clustering Analysis in Load Profiling
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[17] Electric Load Forecasting: A Case Study of the Nogerian Power Sector
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[18] a survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings
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[19] Hour‐ahead demand forecasting in smart grid using support vector regression (SVR)
International Transactions on Electrical Energy Systems, Wiley Online Library, 2013
[20] Mid-long term Algerian electric load forecasting using regression approach
Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2013 International Conference on. IEEE, 201, 2013
[21] Long-Term Load Forecasting of Jordanian Power Grid using Radial Basis Function Neural Networks
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[22] Electric Load Forecasting: A Case Study of the Nigerian Power Sector
International Journal of Engineering and Innovative Technology (IJEIT), 2013
[23] Emerging Subspace Discovery from Daily Load Consumption Data
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