Application of support vector machine models for forecasting solar and wind energy resources: A review
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …
research has proved that renewable energy sources, especially solar and wind, can be …
Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model
The stability operation and real-time control of the integrated energy system with distributed
energy resources determines the higher and higher requirements for the accuracy of solar …
energy resources determines the higher and higher requirements for the accuracy of solar …
ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
Daily solar radiation is an important variable in many models. In this paper, the accuracy and
performance of three soft computing techniques (ie, adaptive neuro-fuzzy inference system …
performance of three soft computing techniques (ie, adaptive neuro-fuzzy inference system …
A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic
Y Zhang, Y Zhao, C Kong, B Chen - Energy Conversion and Management, 2020 - Elsevier
With the characteristics of randomness, fluctuation, nonlinearity and uncertainty, wind speed
affects the stability of wind power system. In order to improve the safety and stability of wind …
affects the stability of wind power system. In order to improve the safety and stability of wind …
Estimation methods for global solar radiation: Case study evaluation of five different approaches in central Spain
R Urraca, E Martinez-de-Pison, A Sanz-Garcia… - … and Sustainable Energy …, 2017 - Elsevier
Solar radiation can be estimated by a variety of methods in an attempt to overcome the
limitations of on-ground records. Novel methods are often appearing but these are rarely …
limitations of on-ground records. Novel methods are often appearing but these are rarely …
GIS-assisted modeling of wind farm site selection based on support vector regression
M Asadi, K Pourhossein… - Journal of Cleaner …, 2023 - Elsevier
The optimal siting of wind farms is a multi-attribute problem, and different objectives and
constraints like economic, environmental, social, and technical should be taken into account …
constraints like economic, environmental, social, and technical should be taken into account …
Forecasting the industrial solar energy consumption using a novel seasonal GM (1, 1) model with dynamic seasonal adjustment factors
ZX Wang, ZW Wang, Q Li - Energy, 2020 - Elsevier
Due to influences of natural and social factors, the data of solar energy consumption
generally show the characteristic of seasonal fluctuations. In order to forecast data with …
generally show the characteristic of seasonal fluctuations. In order to forecast data with …
Prediction of daily and mean monthly global solar radiation using support vector machine in an arid climate
S Belaid, A Mellit - Energy Conversion and Management, 2016 - Elsevier
Prior knowledge of solar radiation in situ is very important, for better management, sizing
and control of solar energy installations. In this paper, an application of a support vector …
and control of solar energy installations. In this paper, an application of a support vector …
One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data
X Zhao, J Liu, D Yu, J Chang - Energy Conversion and Management, 2018 - Elsevier
At present, wind forecast based on Numerical Weather Prediction is widely recognized and
applied for a safer and more sufficient usage of wind sources. However, because of the …
applied for a safer and more sufficient usage of wind sources. However, because of the …
Data-driven short-term solar irradiance forecasting based on information of neighboring sites
Short-term forecasting of solar irradiance at a targeted site with consideration of its time
series and measurements at neighboring sites is studied in this paper. A data-driven …
series and measurements at neighboring sites is studied in this paper. A data-driven …