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 - He, Feifei; Zhou, Jianzhong; Feng, Zhong-kai; Liu, Guangbiao; Yang, Yuqi (Applied energy, 2019)
Keywords: algorithms; Bayesian optimization algorithm; Bayesian theory; China; energy; Long short-term memory network; lymphocytes; prediction; processing technology; regression analysis; Relevant factors; Short-term load forecasting; temperature; Variational mode decomposition; China; Long short-term memory network; Variational mode decomposition; Relevant factors; Short-term load forecasting; Bayesian optimization algorithm