Feifei He

A performance degradation prediction model for PEMFC based on bi-directional long short-term memory and multi-head self-attention mechanism

A review of the applications of artificial intelligence in renewable energy systems: An approach-based study

Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest

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