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1. 发明申请

WO2017071648A1 System, Method and Cloud-Based Platform for Predicting Energy Consumption 审中-公开
标题翻译：用于预测能源消耗的系统，方法和云平台
公开(公告)号：WO2017071648A1
公开(公告)日：2017-05-04
申请号：PCT/CN2016/103789
申请日：2016-10-28
申请人： GLOBAL DESIGN CORPORATION LTD.
发明人： LI, Yee Shing, Benjamin , HO, Yung Fai
IPC分类号： G05B13/02
CPC分类号： G06N5/04 , G01R22/10 , G06N99/005 , G06Q10/04 , G06Q10/06 , G06Q10/063 , G06Q50/06 , Y02P90/82
摘要： A prediction system is provided. The system comprises a first data decomposition facility configured to decompose a provided time series of consumption data into a plurality of different training sets for different types of days and a second data decomposition facility configured to decompose each one of the plurality of training sets into at least a seasonal component and a trend component. The system further comprises a regression facility configured to perform a regression analysis on the decomposed consumption data based on at least the trend component and chronological information associated with the consumption data of the respective training set to train a prediction function and a prediction facility configured to estimate predicted energy consumption data based on the trained prediction function and the type of a day for which the prediction is performed. A method for predicting energy consumption data based on a time series of consumption data and a cloud-based prediction platform are disclosed.
摘要翻译：预测系统提供。
提供预测系统。该系统包括：第一数据分解设施，其被配置为将所提供的消费数据的时间序列分解为针对不同类型的日的多个不同训练集;以及第二数据分解设施，其被配置为将所述多个训练集中的每一个分解为季节性组件和趋势组件。该系统还包括回归工具，该回归工具被配置为至少基于与相应训练集的消耗数据相关联的趋势分量和时间顺序信息来对分解的消耗数据执行回归分析以训练预测函数以及被配置为估计基于训练的预测函数和执行预测的一天的类型来预测能量消耗数据。公开了一种基于消费数据的时间序列和基于云的预测平台来预测能耗数据的方法。

2. 发明申请

WO2017071639A1 ENERGY CONSUMPTION ALERTING METHOD, ENERGY CONSUMPTION ALERTING SYSTEM AND PLATFORM 审中-公开
标题翻译：能源消耗量测量方法，能源消耗量测量系统和平台
公开(公告)号：WO2017071639A1
公开(公告)日：2017-05-04
申请号：PCT/CN2016/103760
申请日：2016-10-28
申请人： GLOBAL DESIGN CORPORATION LTD.
发明人： LI, Yee Shing, Benjamin , HO, Yung Fai
IPC分类号： H02J13/00
CPC分类号： G08B21/182 , G01R21/133 , G06Q50/06 , H04M1/72561
摘要： An energy consumption alerting method includes measuring location-specific energy consumption values over a specific period at a sensor deployed at a location of a monitored site, and decomposing the location-specific energy consumption values according to a first characteristic. The method further includes decomposing the location-specific energy consumption values according to a second characteristic, and obtaining a first decomposed energy consumption value. The method additionally includes determining a corresponding first reference value based on the decomposed values, and comparing the first decomposed energy consumption value with the determined corresponding first reference value. Additionally, the method includes notifying a user if the first decomposed energy consumption value and the determined corresponding first reference value differ from each other. Furthermore, an energy consumption alerting system and a cloud-based energy consumption alerting platform is provided.
摘要翻译：能量消耗告警方法包括在部署在被监测的场所的位置处的传感器处测量特定时间段内的位置特定的能量消耗值，并且根据第一特性。该方法还包括根据第二特征分解位置特定能耗值，并且获得第一分解能耗值。该方法还包括基于分解值确定对应的第一参考值，并且将第一分解能量消耗值与确定的对应第一参考值进行比较。另外，该方法包括通知用户第一分解能量消耗值和确定的相应第一参考值是否彼此不同。此外，还提供能源消耗警报系统和基于云计算的能源消耗警报平台。

3. 发明申请

WO2017071609A1 CLOUD-BASED METHODS FOR IDENTIFYING ENERGY PROFILE AND ESTIMATING ENERGY CONSUMPTION AND CLOUD-BASED ENERGY PROFILE USAGE IDENTIFICATION SYSTEM 审中-公开
标题翻译：基于云的能源概况识别和估算能源消耗和基于云的能源概况用法识别系统
公开(公告)号：WO2017071609A1
公开(公告)日：2017-05-04
申请号：PCT/CN2016/103533
申请日：2016-10-27
申请人： GLOBAL DESIGN CORPORATION LTD.
发明人： LI, Yee Shing, Benjamin , HO, Yung Fai
IPC分类号： G06F1/32
CPC分类号： G06Q30/04 , G01R21/133 , G06Q50/06 , H04L67/306
摘要： Cloud-based methods for identifying energy profile and estimating energy consumption and cloud-based energy profile usage identification system are provided. Cloud-based methods for identifying a energy profile of an end user and estimating energy consumption charges of an end user are also provided. The method includes obtaining information including a total amount of consumed energy and a total equivalent for at least one previous period from at least one listing of the end user, and estimating a consumption profile for a plurality of time slots based on the total amount of consumed energy. The method further includes obtaining a plurality of rate schedules provided over a data network, each schedule corresponding to a energy profile provided by a utility provider, calculating an estimated equivalent for each energy profile based on the estimated consumption profile and schedule corresponding to each energy profile, calculating an error between obtained total equivalent for the period and each one of the calculated estimated equivalent for each energy profile, and selecting a energy profile from the plurality of energy profiles corresponding to the smallest calculated error as the energy profile most likely used by the end user.
摘要翻译：提供了基于云的方法，用于识别能量分布图和估计能量消耗以及基于云的能量分布图使用识别系统。还提供了用于识别最终用户的能量概况和估计最终用户的能量消耗费用的基于云的方法。该方法包括从终端用户的至少一个列表中获得包括消耗的总能量消耗量和总等价量的信息，并基于总消耗量估计多个时间段的消耗量概况能源。该方法还包括获得在数据网络上提供的多个费率时间表，每个时间表对应于由公用事业提供商提供的能量概况，基于估计的消耗概况和对应于每个能量概况的时间表计算每个能量概况的估计等价物计算该周期的所获得的总等效值与每个能量分布图的计算出的估计等效值中的每一个之间的误差，以及从与最小计算误差相对应的多个能量分布图中选择能量分布图作为最可能由最终用户。

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