A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism

Dong, Zhaochen; Tian, Zhirui; Lv, Shuang

doi:10.1016/j.asoc.2024.111863

Applied Soft Computing

2024

DOI: 10.1016/j.asoc.2024.111863

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A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism

Zhaochen Dong,

Zhirui Tian,

Shuang Lv

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A new framework for ultra-short-term electricity load forecasting model using IVMD–SGMD two–layer decomposition and INGO–BiLSTM–TPA–TCN

Cui,

Zhang,

Niu

2024

Applied Soft Computing

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A new framework for ultra-short-term electricity load forecasting model using IVMD–SGMD two–layer decomposition and INGO–BiLSTM–TPA–TCN

Cui,

Zhang,

Niu

2024

Applied Soft Computing

View full text Add to dashboard Cite

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A short-term power load forecasting system based on data decomposition, deep learning and weighted linear error correction with feedback mechanism

Cited by 1 publication

References 35 publications

A new framework for ultra-short-term electricity load forecasting model using IVMD–SGMD two–layer decomposition and INGO–BiLSTM–TPA–TCN

A new framework for ultra-short-term electricity load forecasting model using IVMD–SGMD two–layer decomposition and INGO–BiLSTM–TPA–TCN

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