Hybrid Prediction Method for Solar Power Using Different Computational Intelligence Algorithms

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Smart Grid and Renewable Energy

ISSN Print: 2151-481X
ISSN Online: 2151-4844
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Google-based Impact Factor: 0.88
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"Hybrid Prediction Method for Solar Power Using Different Computational Intelligence Algorithms"
written by Md Rahat Hossain, Amanullah Maung Than Oo, A. B. M. Shawkat Ali,
published by Smart Grid and Renewable Energy, Vol.4 No.1, 2013

has been cited by the following article(s):

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[15]	Daily prediction of solar power generation based on weather forecast information in Korea IET Renewable Power Generation, 2017 DOI:10.1049/iet-rpg.2016.0698

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[17]	Ensemble Learning Approach for Probabilistic Forecasting of Solar Power Generation Energies, 2016 DOI:10.3390/en9121017

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[23]	Short-term solar irradiance and irradiation forecasts via different time series techniques: A preliminary study 3rd International Symposium on Environmental Friendly Energies and Applications (EFEA), 2014 DOI:10.1109/EFEA.2014.7059971

[24]	Multivariate regression for prediction of solar irradiance 2014 International Conference on Data Science & Engineering (ICDSE), 2014 DOI:10.1109/ICDSE.2014.6974633

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