Short-term Load Forecasting Model for Microgrid Based on HSA-SVM

Short-term Load Forecasting Model for Microgrid Based on HSA-SVM

Short-term load forecasting for microgrid is the basis of the research on scheduling techniques of microgrid. Accurate load forecasting for microgrid will provide the necessary basis for cooperative optimization scheduling. Short-term loadforecasting model for microgrid based on support vector machi...

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Bibliographic Details
Main Authors: Aoyang Han, Litao Yu, Shuhuai An, Zhisheng Zhang
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201817301007
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spelling doaj-168bbeec60f64fa4af793f1d5585bfe32021-04-02T15:33:47ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011730100710.1051/matecconf/201817301007matecconf_smima2018_01007Short-term Load Forecasting Model for Microgrid Based on HSA-SVMAoyang HanLitao YuShuhuai AnZhisheng ZhangShort-term load forecasting for microgrid is the basis of the research on scheduling techniques of microgrid. Accurate load forecasting for microgrid will provide the necessary basis for cooperative optimization scheduling. Short-term loadforecasting model for microgrid based on support vector machine(SVM) is constructed in this paper. The harmony search optimization algorithm(HSA) is used to optimize the parameters of the SVM model, because it has the advantages of fast convergence speed and better optimization ability. Through the simulation and test of the actual microgrid load system, it is proved that the short-term loadforecasting model for microgrid based on HSA-SVM can effectively improve the prediction accuracy.https://doi.org/10.1051/matecconf/201817301007
collection DOAJ
language English
format Article
sources DOAJ
author Aoyang Han
Litao Yu
Shuhuai An
Zhisheng Zhang
spellingShingle Aoyang Han
Litao Yu
Shuhuai An
Zhisheng Zhang
Short-term Load Forecasting Model for Microgrid Based on HSA-SVM
MATEC Web of Conferences
author_facet Aoyang Han
Litao Yu
Shuhuai An
Zhisheng Zhang
author_sort Aoyang Han
title Short-term Load Forecasting Model for Microgrid Based on HSA-SVM
title_short Short-term Load Forecasting Model for Microgrid Based on HSA-SVM
title_full Short-term Load Forecasting Model for Microgrid Based on HSA-SVM
title_fullStr Short-term Load Forecasting Model for Microgrid Based on HSA-SVM
title_full_unstemmed Short-term Load Forecasting Model for Microgrid Based on HSA-SVM
title_sort short-term load forecasting model for microgrid based on hsa-svm
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Short-term load forecasting for microgrid is the basis of the research on scheduling techniques of microgrid. Accurate load forecasting for microgrid will provide the necessary basis for cooperative optimization scheduling. Short-term loadforecasting model for microgrid based on support vector machine(SVM) is constructed in this paper. The harmony search optimization algorithm(HSA) is used to optimize the parameters of the SVM model, because it has the advantages of fast convergence speed and better optimization ability. Through the simulation and test of the actual microgrid load system, it is proved that the short-term loadforecasting model for microgrid based on HSA-SVM can effectively improve the prediction accuracy.
url https://doi.org/10.1051/matecconf/201817301007
work_keys_str_mv AT aoyanghan shorttermloadforecastingmodelformicrogridbasedonhsasvm
AT litaoyu shorttermloadforecastingmodelformicrogridbasedonhsasvm
AT shuhuaian shorttermloadforecastingmodelformicrogridbasedonhsasvm
AT zhishengzhang shorttermloadforecastingmodelformicrogridbasedonhsasvm
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