Short-Term Load Forecasting Based on Sequential Relevance Vector Machine
نویسندگان
چکیده
منابع مشابه
Long-Term Streamflow Forecasting Based on Relevance Vector Machine Model
Long-term streamflow forecasting is crucial to reservoir scheduling and water resources management. However, due to the complexity of internally physical mechanisms in streamflow process and the influence of many random factors, long-term streamflow forecasting is a difficult issue. In the article, we mainly investigated the ability of the Relevance Vector Machine (RVM) model and its applicabil...
متن کاملShort 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 کاملShort - Term Load Forecasting
This paper presents a novel hybrid method for short-term load forecasting. The system comprises of two artificial neural networks (ANN), assembled in a hierarchical order. The first ANN is a multilayer perceptron (MLP) which functions as integrated load predictor (ILP) for the forecasting day. The output of the ILP is then fed to another, more complex MLP, which acts as an hourly load predictor...
متن کاملShort-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search
Due to the electricity market deregulation and integration of renewable resources, electrical load forecasting is becoming increasingly important for the Chinese government in recent years. The electric load cannot be exactly predicted only by a single model, because the short-term electric load is disturbed by several external factors, leading to the characteristics of volatility and instabili...
متن کاملShort-Term Load Forecasting Method Based on Fractal Theory
In terms of the present short-term load forecasting(STLF) methods, whether the linear or the nonlinear, neither could meet the STLF requirements better with the rapid developments of electrical power systems and electrical power markets, and so a novel STLF method was proposed based on fractal theory in this paper. Firstly, the paper investigated the fractal characteristics of power system load...
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: Industrial Engineering and Management Systems
سال: 2015
ISSN: 1598-7248
DOI: 10.7232/iems.2015.14.3.318