Abstract: This paper explores the consideration of meteorological factors and special events in the forecasting of electricity purchasing volume by agents. By quantifying the relationship between meteorological factors and electricity purchasing volume by agents, as well as the impact of special events on electricity purchasing by agents, a comprehensive prediction model is established. This model uses meteorological correlation analysis and temperature cumulative effect, and considers the impact of major events, important activities, holidays, etc. on electricity purchasing by agents, aiming to predict electricity purchasing volume by agents more accurately. The research results show that considering multiple factors comprehensively can significantly improve the prediction accuracy, providing decision support for power market participants.