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...

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Váldodahkkit: Xuesong Han, Yan Shi, Renjie Tong, Siteng Wang, Yi Zhang
Materiálatiipa: Artihkal
Giella:English
Almmustuhtton: Elsevier 2023-10-01
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.
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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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AT sitengwang researchonshorttermloadforecastingofpowersystembasedoniwoakelm
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