Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm

A current perspective on the accuracy of incoming solar energy forecasting

R Blaga, A Sabadus, N Stefu, C Dughir… - Progress in energy and …, 2019 - Elsevier
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …
被引用次数：194 相关文章 所有 2 个版本

A Short Term Forecasting of PhotoVoltaic Power Generation Using Coupled Based Particle Swarm Optimization Pruned Extreme Learning Machine.

AK Pani, N Nayak - International Journal of Renewable Energy Research …, 2019 - ijrer.com
Presently, there is a high growth of power demand, and to minimize the air pollution by the
conventional power plants, we enforce the renewable power to the existing conventional …
被引用次数：8 相关文章 所有 4 个版本

Ultra-short-term Wind Power Forecast Using Ensemble Learning and Elephant Herd Optimization Algorithm

F Jiang, J Yang - 2019 Tenth International Conference on …, 2019 - ieeexplore.ieee.org
Accurate prediction of wind power is essential for efficient use of energy. In this paper, an
ensemble learning model of optimization algorithm is proposed. Firstly, the data of wind …
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Short Term Forecasting of Solar Power Using Harmony Search based Extreme Learning Machine

AK Pani, N Nayak - 2019 International Conference on Smart …, 2019 - ieeexplore.ieee.org
The grid incorporation of solar power production creates nonlinearity, instability and entails
improper energy management, which is still a challenging situation while installing a large …
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