Accurate short-term load forecasting is important for performing many power utility functions, including generator unit commitment, hydro-thermal ...
Abstract. Accurate short-term load forecasting is important for performing many power utility functions, including generator unit commitment, hydro-.
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A new incorporated intelligence algorithm is proposed and used to determine free parameters of support vector machines in order to improve the accuracy of ...
The purpose of this paper is to present a SVR model with immune algorithm (IA) to forecast the electric loads, IA is applied to the parameter determine of SVR ...
Forecasting the electricity load provides its future trends, consumption patterns and its usage. There is no proper strategy to monitor the energy ...
The improved SVM is applied to short-term load forecasting, empirical studies show that the method has a high prediction accuracy and faster computing speed.
The main reason for using SVM in solving a mediumYterm load forecasting problem is that it can easily model the load curve; the relation between the load and ...
Mar 30, 2020 · Tuning of various SVM parameters can improve the width of separating hyper plane resulting in improved efficiency. LIBSVM has data format in ...
Dec 4, 2022 · This study aims to propose a high precision load forecasting method. The power load forecasting model, based on the Improved Seagull ...
This study aims to propose a high precision load forecasting method. The power load forecasting model, based on the Improved Seagull Optimization Algorithm, ...