首页> 外国专利> CLOUD BASED BUILDING ENERGY OPTIMIZATION SYSTEM WITH A DYNAMICALLY TRAINED LOAD PREDICTION MODEL

CLOUD BASED BUILDING ENERGY OPTIMIZATION SYSTEM WITH A DYNAMICALLY TRAINED LOAD PREDICTION MODEL

机译:具有动态训练负荷预测模型的基于云的建筑能耗优化系统

摘要

A building energy system includes an energy storage system (ESS) configured to store energy received from an energy source and provide the stored energy to one or more pieces of building equipment. The system includes a local building system configured to collect building data and communicate the building data to a cloud platform and the cloud platform configured to receive the building data from the local building system via the network, determine whether to retrain a trained load prediction model based on at least some of the building data, retrain the trained load prediction model based on at least some of the building data in response to a determination to retrain the trained load prediction model, determine a load prediction for the building based on the retrained load prediction model, and cause the local building system to operate.
机译:建筑能量系统包括能量存储系统(ESS),该能量存储系统被配置为存储从能量源接收的能量并将所存储的能量提供给一个或多个建筑设备。该系统包括被配置为收集建筑数据并将建筑数据传送到云平台的本地建筑系统,并且该云平台被配置为经由网络从本地建筑系统接收建筑数据,确定是否基于训练训练的负荷预测模型。在至少一些建筑物数据上,响应于对重新训练训练后的负荷预测模型的确定,基于至少一些建筑物数据来训练后的负荷预测模型,基于重新训练后的负荷预测确定建筑物的负荷预测模型,并导致本地建筑系统运行。

著录项

  • 公开/公告号US2020073342A1

    专利类型

  • 公开/公告日2020-03-05

    原文格式PDF

  • 申请/专利权人 JOHNSON CONTROLS TECHNOLOGY COMPANY;

    申请/专利号US201816115282

  • 发明设计人 YOUNG M. LEE;WILLIAM N. SCHROEDER;

    申请日2018-08-28

  • 分类号G05B13/02;G05B17/02;G05F1/66;H02J7;

  • 国家 US

  • 入库时间 2022-08-21 11:19:27

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