Research on short-term load forecasting of power system based on IWOA-KELM
A short-term power load forecasting (STPLF) model based on the Improved Whale Optimization Algorithm (IWOA) optimized Kernel Extreme Learning Machine (KELM) is proposed to address the problems of high randomness and low forecasting accuracy of electricity loads. The KELM model is constructed, and th...
Váldodahkkit: | , , , , |
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Materiálatiipa: | Artihkal |
Giella: | English |
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Elsevier
2023-10-01
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Ráidu: | Energy Reports |
Fáttát: | |
Liŋkkat: | http://www.sciencedirect.com/science/article/pii/S2352484723009149 |
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author | Xuesong Han Yan Shi Renjie Tong Siteng Wang Yi Zhang |
author_facet | Xuesong Han Yan Shi Renjie Tong Siteng Wang Yi Zhang |
author_sort | Xuesong Han |
collection | DOAJ |
description | A short-term power load forecasting (STPLF) model based on the Improved Whale Optimization Algorithm (IWOA) optimized Kernel Extreme Learning Machine (KELM) is proposed to address the problems of high randomness and low forecasting accuracy of electricity loads. The KELM model is constructed, and the IWOA is used to optimize the core and penalty parameters of the KELM to establish the IWOA-KELM electricity load forecasting model. Combined with the actual data of a certain region, the forecasting analysis results show that the convergence speed and forecasting accuracy of the method are greatly improved compared with IWOA-BP, IWOA-SVM and IWOA-ELM forecasting methods. |
first_indexed | 2024-03-08T22:46:04Z |
format | Article |
id | doaj.art-2f614087091a4489b74d3ed1404fc0d1 |
institution | Directory Open Access Journal |
issn | 2352-4847 |
language | English |
last_indexed | 2024-03-08T22:46:04Z |
publishDate | 2023-10-01 |
publisher | Elsevier |
record_format | Article |
series | Energy Reports |
spelling | doaj.art-2f614087091a4489b74d3ed1404fc0d12023-12-17T06:39:12ZengElsevierEnergy Reports2352-48472023-10-019238246Research on short-term load forecasting of power system based on IWOA-KELMXuesong Han0Yan Shi1Renjie Tong2Siteng Wang3Yi Zhang4Power Supply Service Supervision and Support Center, State Grid Inner Mongolia East Power Co., Ltd., Tongliao, ChinaPower Supply Service Supervision and Support Center, State Grid Inner Mongolia East Power Co., Ltd., Tongliao, ChinaNARI-TECH Nanjing Control Systems Co., Ltd., Nanjing, China; Corresponding author.Power Supply Service Supervision and Support Center, State Grid Inner Mongolia East Power Co., Ltd., Tongliao, ChinaNARI-TECH Nanjing Control Systems Co., Ltd., Nanjing, ChinaA short-term power load forecasting (STPLF) model based on the Improved Whale Optimization Algorithm (IWOA) optimized Kernel Extreme Learning Machine (KELM) is proposed to address the problems of high randomness and low forecasting accuracy of electricity loads. The KELM model is constructed, and the IWOA is used to optimize the core and penalty parameters of the KELM to establish the IWOA-KELM electricity load forecasting model. Combined with the actual data of a certain region, the forecasting analysis results show that the convergence speed and forecasting accuracy of the method are greatly improved compared with IWOA-BP, IWOA-SVM and IWOA-ELM forecasting methods.http://www.sciencedirect.com/science/article/pii/S2352484723009149Power load forecastingImproved whale algorithmExtreme learning machinePrediction accuracy |
spellingShingle | Xuesong Han Yan Shi Renjie Tong Siteng Wang Yi Zhang Research on short-term load forecasting of power system based on IWOA-KELM Energy Reports Power load forecasting Improved whale algorithm Extreme learning machine Prediction accuracy |
title | Research on short-term load forecasting of power system based on IWOA-KELM |
title_full | Research on short-term load forecasting of power system based on IWOA-KELM |
title_fullStr | Research on short-term load forecasting of power system based on IWOA-KELM |
title_full_unstemmed | Research on short-term load forecasting of power system based on IWOA-KELM |
title_short | Research on short-term load forecasting of power system based on IWOA-KELM |
title_sort | research on short term load forecasting of power system based on iwoa kelm |
topic | Power load forecasting Improved whale algorithm Extreme learning machine Prediction accuracy |
url | http://www.sciencedirect.com/science/article/pii/S2352484723009149 |
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