An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation

Wang, Jianzhou; Xing, Qianyi; Zeng, Bo; Zhao, Weigang

doi:10.1016/j.apenergy.2022.120042

Applied Energy

2022

DOI: 10.1016/j.apenergy.2022.120042

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An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation

Jianzhou Wang

Qianyi Xing

Bo Zeng

et al.

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Cited by 24 publications

References 56 publications

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A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer

Zhao,

Wang,

Niu

et al. 2024

Appl Intell

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A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer

Zhao,

Wang,

Niu

et al. 2024

Appl Intell

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Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting

Yang,

Lou,

Wang

et al. 2024

Appl Intell

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Power load data frequently display outliers and an uneven distribution of noise. To tackle this issue, we present a forecasting model based on an improved extreme learning machine (ELM). Specifically, we introduce the novel Pinball-Huber robust loss function as the objective function in training. The loss function enhances the precision by assigning distinct penalties to errors based on their directions. We employ a genetic algorithm, combined with a swift nondominated sorting technique, for multiobjective optimization in the ELM-Pinball-Huber context. This method simultaneously reduces training errors while streamlining model structure. We practically apply the integrated model to forecast power load data in Taixing City, which is situated in the southern part of Jiangsu Province. The empirical findings confirm the method’s effectiveness.

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Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation

Zhou,

Tang

et al. 2024

J Supercomput

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An ensemble forecasting system for short-term power load based on multi-objective optimizer and fuzzy granulation

Cited by 24 publications

References 56 publications

A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer

A novel fuzzification-forecasting-optimization ensemble system for wind speed based on fuzzy theory and a multiobjective optimizer

Pinball-Huber boosted extreme learning machine regression: a multiobjective approach to accurate power load forecasting

Electrical load forecasting based on the fusion of multi-scale features extracted by using neural ordinary differential equation

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