Electrical Power System Load Forecasting Based on Grey GM(1,1) Theory

This power system load forecasting program based on Grey GM(1,1) theory serves as an extremely valuable analytical tool. The program utilizes historical power system load data and implements the GM(1,1) grey prediction model to perform comprehensive forecasting analysis, providing crucial reference for power system operation and planning. The core algorithm involves accumulating generation operations to establish regular patterns from limited data, then constructing differential equations for trend prediction. Accurate load forecasting is essential during power system operations as it enables utility companies to optimize power supply planning, preventing both electricity shortages and surplus generation scenarios. Furthermore, the program's implementation includes data normalization, background value calculation, and parameter estimation modules that help power companies better understand load variation trends, thereby facilitating more informed decisions for power infrastructure planning and development strategies.