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    • 专利摘要:
    Procedure to predict the energy consumption of environmental air conditioning in buildings. The proposed procedure consists in carrying out a series of consecutive steps in which different mathematical techniques of artificial intelligence are applied to transform the available data on: (i) the weather forecast in its geographical area; (ii) the energy consumption of the air conditioning system; and, (iii) the occupation level in the building, in useful information to represent the evolution of the energy consumption of the building's environmental air conditioning system. With the method of the invention it is possible to automatically select the characteristics that will make up the optimal set of inputs of the predictive model, as well as the regression technique that most accurately estimates the time evolution of the energy consumption associated with the building's environmental air conditioning system. . (Machine-translation by Google Translate, not legally binding)
    公开号:ES2680769A1
    申请号:ES201731099
    申请日:2017-09-08
    公开日:2018-09-10
    发明作者:Antonio Fernando SKARMETA GÓMEZ；Miguel Angel Zamora Izquierdo；María Victoria MORENO CANO；Aurora GONZÁLEZ VIDAL
    申请人:Universidad de Murcia；
    IPC主号:
    专利说明:

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    权利要求:
    Claims (1)
    [1]
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    引用文献:
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    US20120240072A1|2011-03-18|2012-09-20|Serious Materials, Inc.|Intensity transform systems and methods|
    WO2014075108A2|2012-11-09|2014-05-15|The Trustees Of Columbia University In The City Of New York|Forecasting system using machine learning and ensemble methods|
    US20160018835A1|2014-07-18|2016-01-21|Retroficiency, Inc.|System and method for virtual energy assessment of facilities|
    法律状态:
    2018-09-10| BA2A| Patent application published|Ref document number: 2680769 Country of ref document: ES Kind code of ref document: A1 Effective date: 20180910 |
    2019-02-14| FA2A| Application withdrawn|Effective date: 20190208 |
    优先权:
    申请号 | 申请日 | 专利标题
    ESP201700228|2017-03-07|
    ES201700228|2017-03-07|
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