Recent research suggests that generic large language models (LLMs) can match the accuracy of traditional methods when ...
Abstract: To enhance the accuracy and stability of Locational Marginal Price (LMP) forecasting, this paper proposes a prediction method based on enhanced ensemble learning. The method begins with ...
Abstract: This paper proposes a short-term photovoltaic power forecasting method based on a Genetic Algorithm-Random Forest (GRF)-LSTM-XGBoost hybrid model, aimed at improving accuracy by addressing ...
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