Short-term solar radiation prediction based on SVM with similar data

IET Conference Publications

Volumn 2013, Issue 623 CP, 2013, Pages

  Yang, Xiyun ^a   Jiang, Feifei ^a   Liu, Huan ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Short term prediction; Similar data; Solar radiation; SVM; Wavelet analysis

Indexed keywords

CONVERSION TECHNOLOGY; INTERNATIONAL COMMUNITY; LOW AND HIGH FREQUENCIES; RADIATION CHARACTERISTICS; SHORT TERM PREDICTION; SIMILAR DATUM; SOLAR RADIATION PREDICTIONS; SVM;

FORECASTING; FREQUENCY BANDS; PATTERN RECOGNITION; PHOTOVOLTAIC CELLS; SOLAR ENERGY; SOLAR RADIATION; SUN; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

SUPPORT VECTOR MACHINES;

EID: 84893006804     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1049/cp.2013.1735     Document Type: Conference Paper

References (10)

1. Nayak, A., Mingguo Liu and V. Garboushian. "Increasing Power and Energy in Amonix CPV Solar Power Plants", Journal of Photovoltaics, vol. 1, pp.213- 218, (2011).
2. Jianwu Zeng, Wei Qiao. "Short-term solar power prediction using an RBF neural network", IEEE Power and Energy Society General Meeting, pp.1-8, (2011).
3. G. Janacek. "DETERMINING THE DEGREE OF DIFFERENCING FOR TIME SERIES VIA THE LOG SPECTRUM", Journal of Time Series Analysis, vol. 1, pp.213-218, (2010).
4. Zengxin Wang, Shi Su and Shaoquan Zhang. "The application of photovoltaic power prediction technology", International Conference on Electronics, Communications and Control (ICECC), pp.2343-2346, (2011).
5. Ji-Long Chen, Hong-Bin Liu and Wei Wu. "Estimation of monthly solar radiation from measured temperatures using support vector machines-A case study", Renewable Energy, vol.36, pp.413-420, (2011).
6. A. Ahhi, M. Shamisi and M. Jama. "Prediction of monthly average daily global radiation in Al Ain city - UAE using artificial neural networks ", Proc. 4th Wseas International Conference on Renewable Energy Sources (RES 10), pp.109-113, (2010).
7. H.B. Liu, D.T. Xie and W. Wu. "Soil water content forecasting by ANN and SVM hybrid architecture Environ Monit Assess", Environmental Monitoring and Assessment, vol.143, pp.187-193, (2008).
8. B.Dong, C. Cao and S.E. Lee. "Applying support vector machines to predict building energy consumption in tropical region", Energy and Buildings, vol.37, pp.545- 553, (2005).
9. Rong Xiao, Jicheng Wang and Fuyan Zhang. "An Approach to Incremental SVM Learning Algorithm", 12th IEEE International Conference on Tools with Artificial Intelligence, pp.268 - 273, (2000).
10. E.M. Crispim, Pedro M. Ferreira and A.E. Ruano. "Solar radiation prediction using RBF neural networks and cloudiness indices", 2006 International Joint Conference on Neural Networks, pp.2611-2618, (2006 ).