Energy equipment modeling method, device and equipment and energy station scheduling method, device and equipment
A modeling method and energy station technology, applied in resources, design optimization/simulation, instruments, etc., can solve problems such as low efficiency and reliability, and achieve the effect of rational use of energy
Inactive Publication Date: 2018-09-28
ENNEW DIGITAL TECH CO LTD
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Problems solved by technology
However, in the actual operation process, there are many factors that affect the output of an energy device, such as power consumption, equipment load, equipment efficiency, etc., and there are also many environmental factors and random factors.
Therefore, the efficiency and reliability of traditional mechanism-based equipment modeling are very low
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[0083] In order to make the purpose, technical solution and advantages of the present application clearer, the technical solution of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and corresponding drawings. Apparently, the described embodiments are only some of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.
[0084] In practical applications, the purpose of modeling energy equipment is usually to understand the data relationship between the input and output of energy equipment, so as to facilitate the reasonable scheduling of energy stations to provide energy input for energy equipment. This application starts with the historical operation data of energy e...
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The invention discloses energy equipment modeling method, device and equipment and energy station scheduling method, device and equipment. According to the scheme, the energy equipment modeling methodcomprises the following steps of: obtaining historical operation data of energy equipment, wherein the historical operation data comprise equipment input data and corresponding equipment output data;constructing a machine learning model by utilizing the historical operation data and training; and storing the trained machine learning model which is used for simulating the energy equipment to predict the equipment output data and can also be used for dispatching an energy station to carry out energy input for the energy equipment according to the prediction result and user demand data. Therefore, the purpose of reasonably utilizing the energy is achieved while the user requirements can be met at the same time.
Description
technical field [0001] The present application relates to the field of energy and computer technology, in particular to energy equipment modeling, energy station scheduling methods, devices and equipment. Background technique [0002] In the field of energy, a variety of special energy equipment will be researched and used, such as gas boilers, micro gas turbines, cold storage tanks, heat storage tanks, etc. [0003] In the prior art, the modeling of energy equipment starts with the physical mechanism of the energy equipment and constructs an explicit model. However, in the actual operation process, there are many factors that affect the output of an energy device, such as power consumption, equipment load, equipment efficiency, etc., as well as many environmental factors and random factors. Therefore, traditional mechanism-based device modeling has low efficiency and reliability. [0004] Based on the existing technology, a more efficient and reliable energy equipment mod...
Claims
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Login to View More IPC IPC(8): G06F17/50G06Q10/06
CPCG06Q10/06313G06F30/20
Inventor 宋英豪
Owner ENNEW DIGITAL TECH CO LTD