Short-Term Load Forecasting Based on CNN-BiLSTM with Bayesian Optimization and Attention Mechanism

Kai Miao; Qiang Hua; Hui-Feng Shi

doi:10.1007/978-3-030-69244-5_10

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Short-Term Load Forecasting Based on CNN-BiLSTM with Bayesian Optimization and Attention Mechanism

Kai Miao Qiang Hua Hui-Feng Shi

Year: 2021 Lecture notes in computer science Pages: 116-128 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-030-69244-5_10

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Keywords:

Computer science Hyperparameter Term (time) Electric power system Artificial intelligence Bayesian optimization Bayesian probability Mean absolute percentage error Artificial neural network Convolutional neural network Machine learning Data mining Power (physics)

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Smart Grid and Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Grey System Theory Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Short-Term Load Forecasting Based on CNN-BiLSTM with Bayesian Optimization and Attention Mechanism

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