Potential of radial basis function based support vector regression for global solar radiation prediction
Among the different forms of clean energies, solar energy has attracted a lot of attention
because it is not only sustainable, but also is renewable and this means that we will never …
because it is not only sustainable, but also is renewable and this means that we will never …
Dynamic interactions among knowledge management, strategic foresight and emerging technologies
LS Nascimento, FM Reichert… - Journal of Knowledge …, 2021 - emerald.com
Purpose This paper aims to discuss the dynamic interactions among knowledge
management, strategic foresight and emerging technologies, resulting in a framework that …
management, strategic foresight and emerging technologies, resulting in a framework that …
A machine learning-based fatigue loads and power prediction method for wind turbines under yaw control
Yaw control is one of the most promising active wake control strategies to maximize the total
power generation of wind farms. Meanwhile, structural performance needs to be considered …
power generation of wind farms. Meanwhile, structural performance needs to be considered …
Soft computing based closed form equations correlating L and N-type Schmidt hammer rebound numbers of rocks
This paper reports the results of soft computing-based models correlating L and N-type
Schmidt hammer rebound numbers of rock. A data-independent database was compiled …
Schmidt hammer rebound numbers of rock. A data-independent database was compiled …
Wind turbine power output prediction using a new hybrid neuro-evolutionary method
Short-term wind power prediction is challenging due to the chaotic characteristics of wind
speed. Since, for wind power industries, designing an accurate and reliable wind power …
speed. Since, for wind power industries, designing an accurate and reliable wind power …
Groundwater level modeling using augmented artificial ecosystem optimization
Nature-inspired optimization is an active area of research in the artificial intelligence (AI)
field and has recently been adopted in hydrology for the calibration (training) of both process …
field and has recently been adopted in hydrology for the calibration (training) of both process …
New ridge regression, artificial neural networks and support vector machine for wind speed prediction
Y Zheng, Y Ge, S Muhsen, S Wang… - … in Engineering Software, 2023 - Elsevier
For wind energy conversion systems (WECS), forecasting wind speed is crucial for meeting
customer demands while monitoring, controlling, planning, and dispatching the electricity …
customer demands while monitoring, controlling, planning, and dispatching the electricity …
Parameter optimization of support vector regression based on sine cosine algorithm
S Li, H Fang, X Liu - Expert systems with Applications, 2018 - Elsevier
Time series prediction is an important part of data-driven based prognostics which are
mainly based on the massive sensory data with less requirement of knowing inherent …
mainly based on the massive sensory data with less requirement of knowing inherent …
Power prediction of wind turbine in the wake using hybrid physical process and machine learning models
H Zhou, Y Qiu, Y Feng, J Liu - Renewable Energy, 2022 - Elsevier
Precise power prediction for wind turbines under wake effects is requisite for wind farm wake
control to increase the energy production and economic benefits. Wind farm wake effects …
control to increase the energy production and economic benefits. Wind farm wake effects …
Mid-term prediction of electrical energy consumption for crude oil pipelines using a hybrid algorithm of support vector machine and genetic algorithm
L Xu, L Hou, Z Zhu, Y Li, J Liu, T Lei, X Wu - Energy, 2021 - Elsevier
The mid-term electrical energy consumption forecasting for crude oil pipelines is helpful for
making important decisions, such as energy consumption target setting, unit commitment …
making important decisions, such as energy consumption target setting, unit commitment …