Researchers are exploring the use of advanced algorithms, including improved grid VMD Resnet-BiLSTM, to predict electric power data element trading prices. The development of predictive models is part of a broader trend of applying machine learning and artificial intelligence to financial market forecasting, including stock prices and energy market trends. Various studies are investigating the effectiveness of different models and approaches, including the incorporation of climate factors and reinforcement learning, to improve forecasting accuracy in energy markets.