Research on Key Technologies of Electricity Spot Trading Auxiliary Decision-making System for Electricity Retailers
The key technologies of electricity price prediction,user load forecasting and retail package design and calculation are investigated.A heuristic combination electricity price prediction algorithm is proposed,which combines the electricity price prediction algorithm based on XGBDT with the electricity price prediction algorithm based on artificial neural network.This algorithm is easy to calculate,accurate in prediction,and can be manually adjusted.Applying support vector regression to user load forecasting results in high accuracy and efficiency.The electricity spot trading auxiliary decision-making system for electricity retailers is established,with the functions such as market analysis,clearing electricity price prediction,user load forecasting,spot trading decision-making,medium and long-term trading management,retail trading management,which helps electricity retailers reduce trading risks and increase spot trading profits.
NETL
NSTL
万方数据
维普
