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Building energy consumption prediction method, storage medium, device and system

A technology of building energy consumption and prediction methods, which is applied in the direction of prediction, neural learning methods, instruments, etc., and can solve problems such as low accuracy

Pending Publication Date: 2019-04-23
SUZHOU UNIV OF SCI & TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] Based on this, it is necessary to provide a building energy consumption prediction method with high prediction accuracy for the problem of low accuracy of traditional building energy consumption prediction methods

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  • Building energy consumption prediction method, storage medium, device and system
  • Building energy consumption prediction method, storage medium, device and system
  • Building energy consumption prediction method, storage medium, device and system

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[0049] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention can be implemented in many other ways different from those described here, and those skilled in the art can make similar improvements without departing from the connotation of the present invention, so the present invention is not limited by the specific embodiments disclosed below.

[0050] It should be noted that when an element is referred to as being “fixed” to another element, it can be directly on the other element or there can also be an intervening element. When an element is referred to as being "connected to" another element, it can be directly connected to t...

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Abstract

The invention relates to a building energy consumption prediction method, a device and system and a storage medium. The method mainly comprises the following steps of obtaining the actual energy consumption data, and performing the feature extraction on the actual energy consumption data by using a DBN to obtain an output state representation value; inputting the output state representation valuesto the reinforcement learning Q-learning algorithm, and utilizing the reinforcement learning Q-learning algorithm to obtain an optimal prediction strategy, and predicting the building energy consumption data by using the optimal prediction strategy. According to the method, the building energy consumption data can be predicted more accurately.

Description

technical field [0001] The invention relates to the field of building energy consumption monitoring and prediction, in particular to a building energy consumption prediction method, storage medium, device and system. Background technique [0002] At present, with the rapid development of the economy and the continuous advancement of urbanization, people's living standards are constantly improving, and the utilization rate of urban public buildings is constantly increasing. The scale of electricity, fresh water, and gas consumed by urban public buildings during their operation is also increasing. It is urgent for city managers to know the energy consumption data at present and in the future in order to take corresponding measures to achieve the purpose of energy saving and emission reduction. However, the current methods and related systems for monitoring and predicting energy consumption data are not intelligent enough, and the prediction accuracy is not high. Contents of...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/06G06N3/04G06N3/08
CPCG06N3/084G06Q10/04G06Q50/06G06N3/045
Inventor 傅启明钱徐浩然钟珊陈建平傅朝阳
Owner SUZHOU UNIV OF SCI & TECH