Data-driven Data-based Model for Assessing the Factors Influencing Long-and Short-term Market Prices

In recent years, with the rapid development of electricity market trading, the state has paid more attention to the management and regulation of power market clearing price. In order to clarify the influence of non-market elements in the short- and long-term market on the clearing price in the power market, a data-driven assessment model of the influencing elements of the long- and short-term market price is proposed to study the fundamental influencing elements of the clearing price in the power market. In the assessment model, first-level indicators of the evaluation system are established from multiple perspectives, and second-level indicators that are easy to quantify are analyzed. Then, combing with the explanatory structure model to sort out the influence indicators layer by layer, the root influence indicators of the electricity market clearing price are selected. Finally, the prediction model of long and short-term market clearing price is constructed by analyzing the examples and combining the root influence elements. (Abstract)