Short-term power load forecasting based on support vector machine and particle swarm optimization
نویسندگان
چکیده
منابع مشابه
Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression
Background: Short-term load forecasting is an important issue that has been widely explored and examined with respect to the operation of power systems and commercial transactions in electricity markets. Of the existing forecasting models, support vector regression (SVR) has attracted much attention. While model selection, including feature selection and parameter optimization, plays an importa...
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ژورنال
عنوان ژورنال: Journal of Algorithms & Computational Technology
سال: 2018
ISSN: 1748-3026,1748-3026
DOI: 10.1177/1748301818797061