Comprehensive energy load prediction method and system based on user energy consumption label

Abstract

The invention discloses a comprehensive energy load prediction method and system based on a user energy consumption label. The method comprises the following steps: S1, carrying out the analysis of auser energy consumption behavior through combining an energy consumption scene, and constructing a user energy consumption label system; s2, selecting an energy consumption label of a key user, and embedding user labels for short-term and medium-term and long-term load prediction; s3, constructing a CNNLSTM load prediction model based on the user label; and S4, carrying out comprehensive energy short-term and medium-term and long-term load prediction by utilizing the CNNLSTM load prediction model. According to the method, differentiated energy consumption characteristics of different typical regions are analyzed from static and dynamic dimensions, the user tags are determined by adopting a fishbone diagram analysis method and an importance ICCS judgment method, short-term and long-term medium-term load prediction of the sub-user tags is carried out by applying a convolutional neural network and long-term and short-term memory, and a prediction result is more comprehensive and accurate.

Description

technical field [0001] The invention relates to a comprehensive energy load forecasting method and system based on user energy consumption labels, and belongs to the technical field of comprehensive energy system control. Background technique [0002] The development of integrated energy system theory and technology helps to help solve energy security issues, improve social efficiency, and promote the development of new and renewable energy. The integrated energy system integrates various forms of energy supply, energy conversion and energy storage equipment, and realizes the coupling of different types of energy in different links such as source, network, and load, making the connection between electricity, heat, and gas systems closer , integrated energy load forecasting will become an important part of the economic dispatch and optimal operation of the integrated energy system. [0003] In the field of integrated energy, in order to promote energy utilization, the integr...

AI Technical Summary

Problems solved by technology

However, the current load forecasting method is simple and cannot simultaneously perform short-term, medium- and long-term load forecasting for complex multi-energy integrated systems, and the comprehensive energy load forecasting is not accurate enough

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