Strategy Optimization

Based on in-depth research on the spot electricity market, XMO's strategy algorithm has undergone multiple iterations to provide high-yield trading strategies for new energy plants, thermal power plants, and energy storage stations in the spot market.

• The system offers a user-friendly interactive interface that allows users to flexibly customize and adjust declaration strategy parameters based on their own power plants' actual situations and changes in the market environment.

• XMO's intelligent optimization algorithm recently provided a recommended strategy for the next day (D+1) to enhance the efficiency of wind power plants, thermal power plants, energy storage stations, and other facilities.

• Users can modify the recommended strategy according to their own understanding and experience, edit and calculate profits in the custom strategy section, and choose the most suitable strategy for declaration.

• Support for predicting and backtesting daily strategy profits.

• Provision of a pre-billing function to view detailed pre-billing statements and understand income and expenditure details in advance.

• In accordance with the declaration policy requirements for units/plants the day before, through training on historical data and fitting meteorological data, the algorithm designs and optimizes a highly adaptive pre-power declaration strategy. For example, based on the predicted power of new energy units, under the premise of limiting a specified deviation rate, the algorithm generates a recommended power declaration curve with the goal of maximizing profits. This helps the plant gain a competitive advantage in the market bidding process and strive for higher returns while ensuring safe plant operation.

For detailed operations, please refer to the "Product User Manual" in the system.

If you are interested in plant strategies or strategy algorithms, feel free to contact us for further discussion.