GRA-BiLSTM model is an intelligent network model that combines the advantages of grey relational degree analysis and a bidirectional long short-term memory neural. .
To improve the learning ability of the traditional long short-term memory (LSTM) model, the BiLSTM model takes into account the bidirectional relationship of input data in the time structure, instead of only using a single. .
One of the main advantages of EF method is that it can be modified for specific environment, and can also be applied to a series of energy scenarios. It is simpler and more effective in. .
Grey relation analysis (GRA) is a multi-factor statistical analysis method, which measures the relationship of each influencing factor of the selected research index according to the. .
In this paper, the influence of macroeconomic indicators on the power market is fully considered, and the factors affecting the installed capacity of solar PV are determined as follows. [pdf]
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