This invention discloses a method for predicting summer load in a power
system, comprising: acquiring historical load data of the target power
system and
processing it to obtain training and testing datasets; constructing an initial summer load prediction model and training and testing it to obtain a summer load prediction model; constructing future load datasets of the target power
system under different scenarios and using the summer load prediction model to complete the prediction of the target power system's future summer load. This invention also discloses a system for implementing the aforementioned method for predicting summer load in a power system. This invention obtains the final probabilistic load prediction result by constructing influencing variables of power system load and a load prediction model based on LightGBM, and by deeply mining and utilizing historical meteorological data from the hottest days of summer; therefore, this invention can not only achieve summer load prediction for power systems over a longer period, but also has high reliability, good accuracy, and is objective and scientific.