Wind Power Generation Forecasting Based on GRU Optimized by Sparrow Algorithm
Wind Power Generation Forecasting Based on GRU Optimized by Sparrow Algorithm 1. GRU Principles RNNs are suitable for analyzing and processing time series data because they introduce a recurrent unit structure in the network, allowing internal connections between hidden units, which makes it possible to explore temporal relationships between non-continuous data. However, RNNs suffer from … Read more