[PDF] Top 20 The Application of Support Vector Machine in Load Forecasting
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The Application of Support Vector Machine in Load Forecasting
... Support Vector Machine (SVM) is a class of supervised learning algorithms first introduced by ...a support vector which is the nearest to the optimal classification ... See full document
8
Application of Support Vector Machine in Bus Travel Time Prediction
... correlation vector machine prediction algorithm based on Bayesian probability, which can obtain arrival time prediction value and error ...research, support vector machine model is ... See full document
5
Medium term load forecasting using evolutionary programming least square support vector machine
... Least-Square Support Vector Machine (EP-LSSVM) to forecast a medium term load ...electricity load forecasting is a difficult work since the accuracy of forecasting is ... See full document
7
Application of Decision Support System in Load Forecasting Management
... Decision support system can provide users with flexible reporting, random query, On Line Analytical Processing (OLAP) and data mining functions, and ultimately help users find the rule from, the data, forecast ... See full document
6
The application of the support vector machine to the classification
... Result The misclassification rate of 0.0091 for decision tree and 0.138 for SVM indicate that Support Vector Machine does not perform as well as the decision tree for this set of data 0.[r] ... See full document
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Short Term Load Forecasting Using A Hybrid Model Based On Support Vector Regression
... reliability forecasting [20], wind speed forecasting [21], rainfall forecasting [22] and electrical load ...the load value in the power ...practical load data of 400 kV ... See full document
7
A Hybrid Method of Least Square Support Vector Machine and Bacterial Foraging Optimization Algorithm for Medium Term Electricity Price Forecasting
... the application of LSSVM and BFOA in medium term electricity price ...a forecasting technique to improve medium term electricity price forecasting using hybrid model of LSSVM and ... See full document
8
Forecasting revenue passenger enplanements using wavelet-support vector machine
... an application of X-12-ARIMA additive decomposition is used for data decomposition before it is combined with ...enplanements forecasting is evaluated by its mean absolute error (MAE), mean squared error ... See full document
37
Long Term Load Forecasting and Recommendations for China Based on Support Vector Regression
... on support vector machines (SVMs), i.e. support vector regression (SVR), has been proposed for load forecasting because of the structural risk minimization (SRM) principle to ... See full document
6
Determination of Compressive Strength of Concrete by Statistical Learning Algorithms
... e.g. support vector machine (SVM) [1, 2], least square support vector machine (LSSVM) [3], and relevance vector machine (RVM) [4] have been ... See full document
10
A Survey on Intrusion Detection Systems and Classification Techniques
... Learning Machine (ELM) is a new emergent technology which provides good generalization performance for both classification and regression problems at highly fast learning ...though Support Vector ... See full document
7
Ultra short term wind speed forecasting based on support vector machine with combined kernel function and similar data
... function support vector machine Since each kernel function has its application limitations, combining two or more kernel functions to compensate for the shortcomings of a single kernel ... See full document
7
Development of Mushroom Expert System Based on SVM Classifier and Naive Bayes Classifier
... a machine to improve its own performance through the use of a software that employs artificial intelligence ...data. Support vector machine (SVM) is the machine learning algorithm used ... See full document
8
Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models
... The application of wavelet transform analysis in science and engineering really began to take off at the beginning of the ...the forecasting accuracy of financial time series which by definition is not with ... See full document
10
MACHINE LEARNING TOOLS-AN OVERVIEW
... Recently, Machine learning has great scope in industry business, healthcare, transportation ...using machine learning techniques. As machine learning techniques are applied in areas like robotics, ... See full document
9
A Wavelet Support Vector Machine Combination Model for Daily Suspended Sediment Forecasting
... the application of SVM because if C is too small, then insufficient stress will be placed on fitting the training data and if C is too large, then the algorithm will over fit the training ... See full document
10
Rainfall Prediction using Neural Net based Frequency Analysis Approach
... Wu, Application of Hybrid RBF Neural Network Ensemble Model Based on Wavelet Support Vector Machine Regression in Rainfall Time Series Forecasting, Computational Sciences and ... See full document
5
A new technique for maximum load margin estimation and prediction
... maximum load margin (MLM) of a system. On the other hand, the application of AIS in power system has not been much ...powerful machine learning, Support Vector Machine (SVM) ... See full document
7
Sales Forecasting using Linear Regression and Support Vector Machine
... intelligent forecasting methods can play in the world of Sales ...sophisticated forecasting strategies can play a significant ...intelligent forecasting techniques and make the reader aware of the ... See full document
7
Hybridizing GMDH and least squares SVM support vector machine for forecasting tourism demand
... the support vector machine (SVM) method, which was first suggested by Vapnik in 1995 [1], has recently been used in various applications such as in data mining, tourism, classification, regression ... See full document
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