A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

标题
A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
作者
关键词
Short-term load forecasting, Variational mode decomposition, Long short-term memory network, Relevant factors, Bayesian optimization algorithm
出版物
APPLIED ENERGY
Volume 237, Issue -, Pages 103-116
出版商
Elsevier BV
发表日期
2019-01-09
DOI
10.1016/j.apenergy.2019.01.055

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