Energy Price Prediction Integrated with Singular Spectrum Analysis and Long-Short-Term Memory Network Under the Background of Carbon Neutrality
“(3) When the proposed SSA-LSTM model is used to predict the two prices, the results show that the evaluation index of prediction error remains at about 1%, and the accuracy of the model is high.”
StrategyMachine learning
TechniqueRecurrent neural networkfeedforward network
GeographyGlobal
Sample window2011–2020
Also stated: Long-short
Missing from abstract: benchmark, out-of-sample test, costs, multiple testing, universe
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