Abstract: A load prediction method includes determining for a current prediction time point of a prediction day, a similar days of a prediction day from historical days before the prediction day; acquiring an air temperature difference between an air temperature at the time point of the prediction day and an air temperature at the time point of the similar day; determining a difference of loads at the time point of the prediction day and the similar day according to the air temperature difference; and determining a predicted load value at the time point of the prediction day according to a load value at the time point of the similar day and the load difference.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for outputting information. A specific embodiment of the method includes: acquiring at least one personal attribute characteristic of a target user; determining, based on the acquired at least one personal attribute characteristic, a user type of the target user under a preset attribute; and outputting the determined user type. This embodiment effectively utilizes the personal attribute characteristic of the user to predict the user type of the user under the preset attribute, and improves the content richness of the information output.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for outputting information.