Ultra-Short-term Electric Load Forecasting Based on VMD-BiLSTM Model
Jiakun Chen,
Wanxing Ma,
Zhimin Chen
Abstract:Fast and accurate ultra-short-term load forecasting is beneficial for building an efficient and modern smart grid. This paper proposes an ultra-short-term load forecasting model based on Variational Mode Decomposition (VMD) and improved Bi-directional Long Short-Term Memory (BiLSTM) network. The model first decomposes the complex load historical sequence using VMD, reducing the non-stationarity and complexity of the load sequence to facilitate the prediction task using neural networks. Then, the improved BiLST… Show more
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