Short-Term Load Forecasting Model Based on BiLSTM and Attention Mechanism

Chuiji Lu; Liang Shao; Changsen Feng; Jiahua Hu

doi:10.1007/978-981-99-1439-5_64

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Short-Term Load Forecasting Model Based on BiLSTM and Attention Mechanism

Chuiji Lu Liang Shao Changsen Feng Jiahua Hu

Year: 2023 Lecture notes in electrical engineering Pages: 703-714 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-1439-5_64

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Keywords:

Computer science GRASP Key (lock) Sample (material) Convolutional neural network Term (time) Artificial intelligence Artificial neural network Long short term memory Data mining Mechanism (biology) Machine learning Electric power system Power (physics) Recurrent neural network

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2.63

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0.87

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Geoscience and Mining Technology

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Smart Grid and Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Short-Term Load Forecasting Model Based on BiLSTM and Attention Mechanism

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