Zobrazeno 1 - 10
of 18 386
pro vyhledávání: '"Support Vector Regression"'
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 8/9, pp. 2251-2288.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-06-2024-0507
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 11, Pp 5045-5060 (2024)
ABSTRACT Accurate ultra‐short‐term wind power prediction techniques are crucial for ensuring the efficient and safe operation of wind farms and power systems. Combined models based on data decomposition‐prediction techniques have shown excellen
Externí odkaz:
https://doaj.org/article/e7125d9b646547c6897abb8921479cae
Autor:
Aisha Sa'ad, Aime C. Nyoungue, Zied Hajej, Mary Samuel, Abdulazeez Haruna, Sani Umar Muhammed
Publikováno v:
Academy Journal of Science and Engineering, Vol 18, Iss 2, Pp 76-100 (2024)
In this paper, an optimal integrated production - maintenance strategy for a solar power plant, is presented. An optimal maintenance cost model applied to solar power plant with the aim of simultaneously maximizing a plant reliability and minimizing
Externí odkaz:
https://doaj.org/article/b03bebac01174ddc8e0f6670696b2c1a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract In order to obtain the pattern of variation of PM2.5concentrations in the atmosphere in Nanchang City, we build a Support Vector Regression(SVR) with modified Whale Optimization Algorithm(WOA) hybrid model (namely mWOA-SVR model) that can pr
Externí odkaz:
https://doaj.org/article/0eb53eb98c6a4337abd3af3455dab800
Autor:
Abdullah Alkhammash
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This study investigates simulation of pharmaceutical separation via membrane distillation process by computational simulation and machine learning modeling strategy. The efficacy of three regression models, i.e., Multi-layer Perceptron (MLP)
Externí odkaz:
https://doaj.org/article/19e3976deb494901bc730cce4091b0d5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract This research work focuses on addressing the challenges of electric load forecasting through the combination of Support Vector Regression and Long Short-Term Memory (SVR/LSTM) methodology. The model has been modified by a flexible version of
Externí odkaz:
https://doaj.org/article/af41bff86a754c3ea63a9e657b8d8b9e
Autor:
Baofu Gong
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 6, Pp 1195-1208 (2024)
Modeling the gasification process through machine learning (ML) involves predicting the behavior and performance of gasification systems. Support Vector Regression (SVR) is known as an effective procedure in forecasting continuous variables and is ev
Externí odkaz:
https://doaj.org/article/fb59c850573044e9aef1728545e785ed
Autor:
Yuzhu Xia
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract This study delves into the predictors of English proficiency among middle school students in China, utilizing the rich dataset provided by the China Education Panel Survey (CEPS). By integrating multilevel modeling and Support Vector Regress
Externí odkaz:
https://doaj.org/article/cc59367d80d749c79b22dab6681c2451
Publikováno v:
Rekayasa Mesin, Vol 15, Iss 2, Pp 997-1006 (2024)
Facing is a common process in machining. Facing process error could be the result of a three-pin error in 3-2-1 principle. Measuring pin error is difficult to carry out periodically. This study discusses how to identify pin errors based on the object
Externí odkaz:
https://doaj.org/article/382043c2d4f94add87cdbc9dd559fb7c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The growing integration of renewable energy sources into grid-connected microgrids has created new challenges in power generation forecasting and energy management. This paper explores the use of advanced machine learning algorithms, specifi
Externí odkaz:
https://doaj.org/article/c362974d477441a9ac7db9ce8e32990d