Short-Term Load Forecasting Based on Gaussian Wavelet SVM
نویسندگان
چکیده
منابع مشابه
Short Term Load Forecasting Using Empirical Mode Decomposition, Wavelet Transform and Support Vector Regression
The Short-term forecasting of electric load plays an important role in designing and operation of power systems. Due to the nature of the short-term electric load time series (nonlinear, non-constant, and non-seasonal), accurate prediction of the load is very challenging. In this article, a method for short-term daily and hourly load forecasting is proposed. In this method, in the first step, t...
متن کاملResearch on GA-SVM Model for Short Term Load Forecasting Based on LDM-PCA Technique
An integrated Genetic Algorithm (GA) based Support Vector Machine (SVM) model for short term load forecasting with input factors selection procession is presented in this paper. First, load distance method is used to for selecting main load influential factors which have more relevant to load parameter. Next, principal component analysis (PCA) technique is used to diminish the correlations amon...
متن کاملStudy on Short-Term Load Forecasting Method Based on the PSO and SVM model
The short-term load forecasting is an important method for security dispatching and economical operation in electric power system, and its prediction accuracy directly affects the operating reliability of the electric system. So the global optimization ability of particle swarm optimization (PSO) algorithm and classification prediction ability of support vector machine (SVM) are combined in ord...
متن کاملShort-term Load Forecasting with LS-SVM Based on Improved Ant Colony Algorithm Optimization
Research of short-term load forecasting has important practical application value in the field of power network dispatching. The regession models of least squares support vector machines (LS-SVM) have been applied to load forecasting field widely, and the regression accuracy and generalization performance of the LS-SVM models depend on a proper selection of its parameters. In this paper, a new ...
متن کاملA New Short-term Power Load Forecasting Model Based on Chaotic Time Series and SVM
This paper presents a model for power load forecasting using support vector machine and chaotic time series. The new model can make more accurate prediction. In the past few years, along with power system privatization and deregulation, accurate forecast of electricity load has received increasing attention. According to the chaotic and non-linear characters of power load data, the model of sup...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Energy Procedia
سال: 2011
ISSN: 1876-6102
DOI: 10.1016/j.egypro.2011.10.052