The invention discloses an annual maximum load prediction method based on an engineering consultation industry expansion and temperature reduction model. The method comprises the following steps of: a historical data processing step: obtaining an annual maximum load of each year in the history and a maximum temperature at a maximum load day, carrying out accumulative temperature correction on the maximum temperature at the maximum load day of each year in the history, calculating an annual basic load of each year in the history, and calculating a temperature sensitive coefficient at each temperature; a load reduction step: determining a maximum reference temperature, solving an adjustment coefficient, and calculating an annual reduction maximum load of each year in the history; a load extrapolation prediction and result adjustment step: establishing a regression model of engineering consultation industry expansion and temperature reduction, carrying out extrapolation prediction on an annual reduction maximum load of a target year, determining a prediction interval of an annual maximum temperature of the target year, and determining an annual maximum load prediction interval according to the prediction interval of the annual maximum temperature of the target year.