Search Results - subject:"Support Vector Machine"

Fault diagnosis for a wind turbine transmission system based on manifold learning and Shannon wavelet support vector machine

Tang, Baoping; Song, Tao; Li, Feng; Deng, Lei - In: Renewable Energy 62 (2014) C, pp. 1-9

, the low-dimensional eigenvectors are inputted into a Shannon wavelet support vector machine (SWSVM) to recognize faults … transmission systems. In this paper, a novel fault diagnosis method based on manifold learning and Shannon wavelet support vector … machine is proposed for wind turbine transmission systems. Firstly, mixed-domain features are extracted to construct a high …

Persistent link: https://www.econbiz.de/10010805171

Analysis of daily solar power prediction with data-driven approaches

Long, Huan; Zhang, Zijun; Su, Yan - In: Applied Energy 126 (2014) C, pp. 29-37

Artificial Neural Network (ANN), the Support Vector Machine (SVM), the k-nearest neighbor (kNN), and the multivariate linear …

Persistent link: https://www.econbiz.de/10010776565

Customer Churn Prediction Based on Feature Clustering and Nonparallel Support Vector Machine

Zhao, Xi; Shi, Yong; Lee, Jongwon; Kim, Heung Kee; Lee, … - In: International Journal of Information Technology & … 13 (2014) 05, pp. 1013-1027

Bank customer churn prediction is one of the key businesses for modern commercial banks. Recently, various methods have been investigated to identify the customers who would leave away. This paper proposed a new framework based on feature clustering and classification technique to help...

Persistent link: https://www.econbiz.de/10010894901

Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission

Shamshirband, Shahaboddin; Petković, Dalibor; Amini, Amineh - In: Energy 67 (2014) C, pp. 623-630

Nowadays the use of renewable energy including wind energy has risen dramatically. Because of the increasing development of wind power production, improvement of the prediction of wind turbine output energy using classical or intelligent methods is necessary. To optimize the power produced in a...

Persistent link: https://www.econbiz.de/10011054016

Predicting energy consumption of multiproduct pipeline using artificial neural networks

Zeng, Chunlei; Wu, Changchun; Zuo, Lili; Zhang, Bin; … - In: Energy 66 (2014) C, pp. 791-798

regression and two support vector machine (SVM) models which are produced using different inputs. Results show that the two MLP …

Persistent link: https://www.econbiz.de/10011054809

Identification of Velcro rales based on Hilbert–Huang transform

Chen, Xue; Shao, Jie; Long, Yingjiao; Que, Chengli; … - In: Physica A: Statistical Mechanics and its Applications 401 (2014) C, pp. 34-44

crackles and to calculate the portion of crackles during late inspiration. Support vector machine (SVM) based on the HHT …

Persistent link: https://www.econbiz.de/10011059303

Strategies to Develop Warm Solutions for Real-Time Pump Scheduling for Water Distribution Systems

Pasha, M.; Lansey, Kevin - In: Water Resources Management 28 (2014) 12, pp. 3975-3987

An optimal pump operation schedule that maintains satisfactory hydraulics conditions can generally reduce energy consumptions compared to the traditional trial and error based pump operation schedule. Linking an evolutionary based optimization algorithm with a hydraulic simulation model has...

Persistent link: https://www.econbiz.de/10010949764

A Comparative Assessment of Support Vector Machines, Probabilistic Neural Networks, and K-Nearest Neighbor Algorithms for Water Quality Classification

Modaresi, Fereshteh; Araghinejad, Shahab - In: Water Resources Management 28 (2014) 12, pp. 4095-4111

classification including support vector machine (SVM), probabilistic neural network (PNN), and k-nearest neighbor (KNN) for water …

Persistent link: https://www.econbiz.de/10010949789

Potential of radial basis function based support vector regression for global solar radiation prediction

Ramedani, Zeynab; Omid, Mahmoud; Keyhani, Alireza; … - In: Renewable and Sustainable Energy Reviews 39 (2014) C, pp. 1005-1011

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 run out of it but the potential of using this form of renewable energy depends on its accessibility. Due to the...

Persistent link: https://www.econbiz.de/10010931102

Fast nonparametric classification based on data depth

Lange, Tatjana; Mosler, Karl; Mozharovskyi, Pavlo - In: Statistical Papers 55 (2014) 1, pp. 49-69

classification approaches, including the support vector machine. Copyright Springer-Verlag Berlin Heidelberg 2014 …

Persistent link: https://www.econbiz.de/10010998619