Method, device and storage medium for power and energy demand forecasting based on multi-model
A demand forecasting, electric energy technology, applied in the direction of circuit devices, forecasting, neural learning methods, etc., can solve the problems of correction, unable to verify energy forecasting data, poor accuracy, etc., to achieve the effect of ensuring accuracy
Active Publication Date: 2022-07-29
STATE GRID ZHEJIANG ELECTRIC POWER +1
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[0004] At present, when energy forecasting is performed, the energy forecasting data is obtained by energy forecasting at the next time point based on the historical energy data through the energy forecasting model, but in the process of forecasting, the obtained energy forecasting data cannot be verified and corrected , the accuracy is poor
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[0057] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments It is only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.
[0058] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to Describe a particular order or sequence. It is to be understood that the data so used m...
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The present invention provides a method, device and storage medium for predicting power energy demand based on multiple models, including: acquiring historical energy data at multiple time points within a preset time period, and obtaining historical energy data within a preset time period according to the multiple historical energy data the first energy demand growth rate; select the first prediction model corresponding to the first model set, and the first prediction model obtains the first energy demand prediction value according to the historical energy data; select the preset time period that is closest to the current moment The time point is used as the target time point, and the first prediction model obtains the second energy demand prediction value at the target time point according to the historical energy data at the first time point; the second prediction model combines the second energy demand prediction value and the energy demand actual value. A first result is obtained by comparing; a residual value is obtained based on the second predicted value of energy demand and the actual value of energy demand, and a third predicted value of energy demand is obtained by correcting the first predicted value of energy demand based on the residual value.
Description
technical field [0001] The invention relates to the technical field of energy prediction, and in particular, to a method, device and storage medium for predicting electric power energy demand based on multiple models. Background technique [0002] The complexity of the power energy system is mainly reflected in the fact that it has multiple stakeholders. The amount of energy and its utilization efficiency are important reasons that affect the progress of today's society. At the same time, energy is also an important material support for our human social life and progress. Accurate prediction of the increase or decrease of total energy demand is an important guarantee for new energy planning and dispatching. [0003] In recent years, the country's demand for energy has increased sharply. Among them, the demand for secondary energy such as gasoline, kerosene, and gas has also maintained a rapid growth trend. Accurate forecasting of power demand can not only effectively guide ...
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IPC IPC(8): G06F17/00G06Q10/04G06Q50/06G06N3/08G06N3/04H02J3/00
CPCY04S10/50
Inventor 王红凯尹积军戴铁潮杨鸿珍冯珺张巍
Owner STATE GRID ZHEJIANG ELECTRIC POWER