Power load prediction model establishment method and device based on joint learning

Abstract

The invention relates to the technical field of energy, and provides a power load prediction model establishment method and device based on joint learning. The method comprises the following steps: acquiring a data set of electrical load data of an initiator and a data set of electrical load data of at least one participant; determining the similarity between the data set of the electrical load data of the initiator and the data set of the electrical load data of at least one participant; based on the similarity, determining a data set of target electrical load data of at least one target party in the data set of the electrical load data of the at least one participant, and based on the data set of the electrical load data of the initiator and the data set of the target electrical load data of the at least one target party, carrying out model training by adopting a transverse joint learning algorithm; and establishing a power load prediction model according to a model training result. The accuracy of the power load prediction model is improved.

Description

technical field [0001] The present disclosure relates to the field of energy technology, and in particular to a method, device, electronic device, and computer-readable storage medium for establishing a power load forecasting model based on joint learning. Background technique [0002] Power load forecasting is an important part of power system planning, and accurate power load forecasting is the basis for efficient operation of power systems. [0003] In the prior art, power load forecasting is usually performed based on a training model. When training the model, due to cold start or other reasons, the amount of training sample data of the initiator may be insufficient, which further leads to poor accuracy of the power load forecasting model established by the initiator. Contents of the invention [0004] In view of this, the embodiments of the present disclosure provide a method, device, electronic device, and computer-readable storage medium for establishing a power lo...

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Problems solved by technology

[0004] In view of this, the embodiments of the present disclosure provide a method, device, electronic device, and computer-readable storage medium for establishing a power load forecasting model based on joint learning, so as to solve the problem of insufficient training sample data of the initiator in the prior art. The problem that the accuracy of the power load forecasting model established by the initiator is poor

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