Load calculation theory, grey Verhulst model and equal dimensional innovation gray theory were combined to establish a comprehensive method and system for regional dynamic cooling and heating load prediction using MATLAB by considering the dynamic growth characteristics of regional buildings. Historical data of the building area in Changzhou high-speed railway new town from 2017 to 2022 were used to forecast the next ten-year heating and cooling loads in the region. Results show that the established three types of area prediction equations based on the equal dimensional innovation grey theory and Verhulst grey model achieve the first-class accuracy level. The heating and cooling loads in the High-speed Rail New City will experience rapid growth followed by slow growth until saturation in the next ten years. The saturation point is projected to be around 2030 with a saturated cooling load of 436 MW and a saturated heating load of 228 MW. The loads were reduced by approximately 7.52% and 19.86% respectively compared to the results obtained by the area index method (472 MW for cooling load and 285 MW for heating load).