Method and system for evaluating power efficiency of enterprise user through Hopfield neural network

A technology of power energy efficiency and neural network, applied in the field of power efficiency evaluation of enterprise users

Inactive Publication Date: 2013-09-04
JIANGSU UNIV
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Problems solved by technology

[0006] In view of the advantages of the neural network model, the present invention proposes a method and system for comprehensive evaluation of power energy efficiency of enterprise users using the Hopfield neural network method, which can well solve the problem of complex nonlinear relatio

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  • Method and system for evaluating power efficiency of enterprise user through Hopfield neural network
  • Method and system for evaluating power efficiency of enterprise user through Hopfield neural network
  • Method and system for evaluating power efficiency of enterprise user through Hopfield neural network

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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0023] The invention proposes a system for evaluating the power energy efficiency of industrial users by using the Hopfield neural network method, including a basic data acquisition platform composed of a power detector, communication equipment, and a computer, and energy efficiency evaluation software.

[0024] Specific evaluation methods such as figure 1 shown, including the following steps:

[0025] Step 101: Establish an energy efficiency index system and set evaluation levels.

[0026] The evaluation and management of energy efficiency are mainly carried out from four aspects: energy efficiency of the energy consumption system of the enterprise, economic energy efficiency, electric energy information, and electric energy pollution degree, such as figure 2 As shown, the state factor set is established according to the index, let E be th...

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Abstract

The invention provides a method and a system for hazily and comprehensively evaluating the power efficiency of an enterprise user by using a Hopfield neural network method. The system comprises a basic data acquisition platform consisting of a power detector and a communication server, and an efficiency evaluation platform. The method comprises the following steps that the power detector communicates all acquired data and data analyzed by the detector with the communication server through an RS485 interface; the data is transmitted to a power efficiency evaluation platform of a company through an inner-enterprise local area network, and software in the efficiency evaluation platform classifies, analyzes and counts the received data according to an efficiency evaluation system to obtain each factor value of an efficiency index system; and factors in each factor group are evaluated by the Hopfield neural network method. By the method and the system, various efficiency influence factors of the enterprise can be determined, the requirement on objectiveness of the evaluation process is met by fully utilizing the learning capacity and adaptive ability of artificial neuron, and the evaluation system is more objective and practical.

Description

technical field [0001] The invention relates to the field of electric energy efficiency evaluation of enterprise users, in particular to a method and system for evaluating electric energy efficiency of enterprise users by using a Hopfield neural network method. Background technique [0002] At present, for enterprises, especially those with high energy consumption, the realization of the goal of energy saving and consumption reduction is the need of corporate social responsibility and development. This is because industry is a major energy consumer in my country, and high-energy-consuming enterprises in key energy-consuming industries are also major industrial energy consumers. However, for small and medium-sized enterprises with a large number of industries covering a wide range of industries, and due to their relatively small scale, the technical level and energy consumption level are uneven. It is also necessary to save energy and reduce consumption, improve energy utiliz...

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Application Information

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IPC IPC(8): G06Q50/06G06N3/02
CPCY02P80/10
Inventor 李正明倪福银潘天红
Owner JIANGSU UNIV
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