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: Accurate probabilistic forecasting of distributed photovoltaic (DPV) ultra-short-term power is of great significance for the operation and scheduling of distribution networks. To address the ...

Objectives While health services leaders rely heavily on information gathered via environmental scans (ESs) to guide strategic decision-making, formal guidance on how to conduct these scans is notably ...