Simulation Method for Medium and Long-Term Electricity Market Bid Prices Considering Weather Factors

Taking the medium and long-term electricity market bid prices of a certain province as the research object, this study employs numerical simulation methods to investigate the correlation between weather factors and market entity bid prices. By using Pearson correlation method, ICEEMDAN decomposition technique, and applying the Transformer model, a point simulation method for medium and long-term electricity market bid prices considering weather factors is proposed. The method is applied to weekly transaction simulation cases in the medium and long-term electricity market. The case analysis indicates that the proposed point simulation method for bid prices considering weather factors can form market entity bids based on historical bid data and weather factors, which helps in analyzing and forecasting market supply and demand conditions and competitive dynamics.