Hybrid optimization algorithm-based energy consumption prediction method, cloud computing platform and system

A technology of optimization algorithm and forecasting method, which is applied in the direction of calculation, multi-objective optimization, computer-aided design, etc., can solve the problem of low forecasting accuracy, achieve the effect of improving forecasting accuracy, realizing forecasting, and solving limitations

Active Publication Date: 2022-02-18
WUXI TONGFANG ARTIFICIAL ENVIRONMENT
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Problems solved by technology

[0004] The invention provides an air-conditioning energy consumption prediction method based on a hybrid optimization algorithm, a cloud computing platform, and an air-conditioning energy consumption prediction system based on a hybrid optimization algorithm, which solves the problem in the related technology that it is easy to fall into a local minimum and cause low prediction accuracy question

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  • Hybrid optimization algorithm-based energy consumption prediction method, cloud computing platform and system
  • Hybrid optimization algorithm-based energy consumption prediction method, cloud computing platform and system
  • Hybrid optimization algorithm-based energy consumption prediction method, cloud computing platform and system

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[0052]It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0053] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only Embodiments of some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0054] It should be noted that the terms "fi...

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Abstract

The invention relates to the technical field of air conditioner energy consumption prediction, and particularly discloses a hybrid optimization algorithm-based energy consumption prediction method. The method includes comprises the following steps: acquiring air conditioner historical energy consumption preprocessing data of a data acquisition and processing device; according to an optimized extreme learning machine algorithm, processing and analyzing training set data in the air conditioner historical energy consumption preprocessing data, and then constructing an energy consumption prediction model; and inputting prediction set data in the historical energy consumption preprocessing data of the air conditioner into the energy consumption prediction model to obtain a prediction result. The invention further discloses a cloud computing platform and an air conditioner energy consumption prediction system based on the hybrid optimization algorithm. According to the air conditioner energy consumption prediction method based on the hybrid optimization algorithm, prediction of air conditioner energy consumption can be effectively and accurately achieved.

Description

technical field [0001] The invention relates to the technical field of air conditioner energy consumption forecasting, in particular to an air conditioner energy consumption forecast method based on a hybrid optimization algorithm, a cloud computing platform, and an air conditioner energy consumption forecast system based on a hybrid optimization algorithm. Background technique [0002] With the rapid development of urbanization, the energy consumption related to buildings has been rising continuously. According to the statistics of China Energy Conservation Association, building energy consumption has accounted for about 30% of the national energy consumption. However, the energy-saving compliance rate of public buildings is less than 10%, and there is a serious waste of energy consumption. It shows that there is a huge potential for mining energy-saving methods for public building energy consumption data. Among them, the energy consumed by air-conditioning and heating syste...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06F111/06G06F119/06
CPCG06F30/27G06F2111/06G06F2119/06Y02D10/00
Inventor 张慧韩林俊王洋
Owner WUXI TONGFANG ARTIFICIAL ENVIRONMENT
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