The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection
Short-term power load forecasting is an important basis for the operation of integrated energy system, and the accuracy of load forecasting directly affects the economy of system operation. To improve the forecasting accuracy, this paper proposes a load forecasting system based on wavelet least squa...
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ftrepec:oai:RePEc:gam:jsusta:v:9:y:2017:i:7:p:1188-:d:103877 2024-04-14T08:20:06+00:00 The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection Jin-peng Liu Chang-ling Li https://www.mdpi.com/2071-1050/9/7/1188/pdf https://www.mdpi.com/2071-1050/9/7/1188/ unknown https://www.mdpi.com/2071-1050/9/7/1188/pdf https://www.mdpi.com/2071-1050/9/7/1188/ article ftrepec 2024-03-19T10:30:12Z Short-term power load forecasting is an important basis for the operation of integrated energy system, and the accuracy of load forecasting directly affects the economy of system operation. To improve the forecasting accuracy, this paper proposes a load forecasting system based on wavelet least square support vector machine and sperm whale algorithm. Firstly, the methods of discrete wavelet transform and inconsistency rate model (DWT-IR) are used to select the optimal features, which aims to reduce the redundancy of input vectors. Secondly, the kernel function of least square support vector machine LSSVM is replaced by wavelet kernel function for improving the nonlinear mapping ability of LSSVM. Lastly, the parameters of W-LSSVM are optimized by sperm whale algorithm, and the short-term load forecasting method of W-LSSVM-SWA is established. Additionally, the example verification results show that the proposed model outperforms other alternative methods and has a strong effectiveness and feasibility in short-term power load forecasting. load forecasting; least square support vector machine; sperm whale algorithm; feature selection Article in Journal/Newspaper Sperm whale RePEc (Research Papers in Economics) |
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Open Polar |
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RePEc (Research Papers in Economics) |
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Short-term power load forecasting is an important basis for the operation of integrated energy system, and the accuracy of load forecasting directly affects the economy of system operation. To improve the forecasting accuracy, this paper proposes a load forecasting system based on wavelet least square support vector machine and sperm whale algorithm. Firstly, the methods of discrete wavelet transform and inconsistency rate model (DWT-IR) are used to select the optimal features, which aims to reduce the redundancy of input vectors. Secondly, the kernel function of least square support vector machine LSSVM is replaced by wavelet kernel function for improving the nonlinear mapping ability of LSSVM. Lastly, the parameters of W-LSSVM are optimized by sperm whale algorithm, and the short-term load forecasting method of W-LSSVM-SWA is established. Additionally, the example verification results show that the proposed model outperforms other alternative methods and has a strong effectiveness and feasibility in short-term power load forecasting. load forecasting; least square support vector machine; sperm whale algorithm; feature selection |
format |
Article in Journal/Newspaper |
author |
Jin-peng Liu Chang-ling Li |
spellingShingle |
Jin-peng Liu Chang-ling Li The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection |
author_facet |
Jin-peng Liu Chang-ling Li |
author_sort |
Jin-peng Liu |
title |
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection |
title_short |
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection |
title_full |
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection |
title_fullStr |
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection |
title_full_unstemmed |
The Short-Term Power Load Forecasting Based on Sperm Whale Algorithm and Wavelet Least Square Support Vector Machine with DWT-IR for Feature Selection |
title_sort |
short-term power load forecasting based on sperm whale algorithm and wavelet least square support vector machine with dwt-ir for feature selection |
url |
https://www.mdpi.com/2071-1050/9/7/1188/pdf https://www.mdpi.com/2071-1050/9/7/1188/ |
genre |
Sperm whale |
genre_facet |
Sperm whale |
op_relation |
https://www.mdpi.com/2071-1050/9/7/1188/pdf https://www.mdpi.com/2071-1050/9/7/1188/ |
_version_ |
1796298296724029440 |