The present application relates to the technical field of
power load prediction, in particular to a
power load prediction method,
system and scheduling method. Based on the
processing of regional historical
power consumption data, user historical
power consumption data and user historical
power consumption sequence, the
power load prediction method can realize the acquisition of cycle prediction,
trend prediction and fluctuation prediction by constructing user cycle model, user trend model and user fluctuation model, and then complete the power load prediction of the to-be-predicted region. The power load prediction method does not need to consider parameters such as regional economic framework and regional
environmental change, but returns to the essence that the user is the minimum power consumption unit and the daily power consumption behavior of each user is related to the work and rest rules, so it can be better applied to the power load prediction of smaller areas, and is conducive to improving the fine management of current power load prediction.