会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Utility consumption disaggregation
    • 实用消费分解
    • US09111322B2
    • 2015-08-18
    • US14219380
    • 2014-03-19
    • Martha AmramDoug Sauder
    • Martha AmramDoug Sauder
    • G06Q50/06G06Q10/00G06Q30/04
    • G06Q50/06G06Q10/00G06Q30/04
    • A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is presented. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.
    • 提出了一种计算机实现的能量消耗分类方法,用于根据分解的历史效用消耗数据生成并呈现效用消耗曲线。 计算机实现的方法包括获取表示一段时间内住宅的历史功耗消耗的数据。 然后,通过首先基于该时间段内的一个或多个预定间隔来计算平均效用消耗,然后通过将平均值应用于该时间段来计算非季节性部分来确定历史效用消耗数据的非季节性部分。 然后从历史公用事业消费数据中减去非季节性部分,以获得历史公用事业消费数据的季节性部分。 季节性和/或非季节性部分可以通过最终用途方法进一步分解,并在用电消费概况中呈现给用户。
    • 2. 发明申请
    • UTILITY CONSUMPTION RECOMMENDATION
    • 实用消费建议
    • US20110282808A1
    • 2011-11-17
    • US13112986
    • 2011-05-20
    • Martha AmramEfrat Kasznik
    • Martha AmramEfrat Kasznik
    • G06Q50/00
    • G06Q50/06G06Q10/04G06Q30/02
    • A computer-implemented method is disclosed for generating and presenting personalized recommendations of improving utility consumption efficiency of a dwelling based on an itemized utility consumption profile generated from historical utility consumption data. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period to produce an itemized utility consumption profile. A list of recommendations for improving utility consumption efficiency is generated based on the itemized utility consumption profile, and a reduction in utility consumption for each recommendation is estimated based on the historical consumption profile. The recommendations may be ranked, modified, or bundled to produce personalized recommendations, which may increase the likelihood of implementation.
    • 公开了一种计算机实现的方法,用于基于从历史公用事业消费数据生成的逐项效用消耗简档来生成和呈现提高住宅的公用事业消费效率的个性化建议。 计算机实现的方法包括获取表示一段时间内的住宅的历史功耗消耗的数据,以产生逐项的公用事业消费简档。 根据公用事业消费概况,制定了提高公用事业消费效率的建议清单,并根据历史消费情况估计每项建议的效用消耗量。 这些建议可以进行排名,修改或捆绑以产生个性化的建议,这可能增加实施的可能性。
    • 4. 发明授权
    • Historical utility consumption disaggregation
    • 历史效用消费分解
    • US08719186B2
    • 2014-05-06
    • US13109960
    • 2011-05-17
    • Martha AmramDoug Sauder
    • Martha AmramDoug Sauder
    • G06F17/00G06F1/32
    • G06Q50/06G06Q10/00G06Q30/04
    • A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is disclosed. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.
    • 公开了一种计算机实现的能量消耗分类方法,用于基于分解的历史效用消耗数据生成和呈现公用事业消耗曲线。 计算机实现的方法包括获取表示一段时间内住宅的历史功耗消耗的数据。 然后,通过首先基于该时间段内的一个或多个预定间隔来计算平均效用消耗,然后通过将平均值应用于该时间段来计算非季节性部分来确定历史效用消耗数据的非季节性部分。 然后从历史公用事业消费数据中减去非季节性部分,以获得历史公用事业消费数据的季节性部分。 季节性和/或非季节性部分可以通过最终用途方法进一步分解,并在用电消费概况中呈现给用户。
    • 5. 发明申请
    • HISTORICAL UTILITY CONSUMPTION DISAGGREGATION
    • 历史实用消费歧视
    • US20110282506A1
    • 2011-11-17
    • US13109960
    • 2011-05-17
    • Martha AmramDoug Sauder
    • Martha AmramDoug Sauder
    • G06F1/32
    • G06Q50/06G06Q10/00G06Q30/04
    • A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is disclosed. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.
    • 公开了一种计算机实现的能量消耗分类方法,用于基于分解的历史效用消耗数据生成和呈现公用事业消耗曲线。 计算机实现的方法包括获取表示一段时间内住宅的历史功耗消耗的数据。 然后,通过首先基于该时间段内的一个或多个预定间隔来计算平均效用消耗,然后通过将平均值应用于该时间段来计算非季节性部分来确定历史效用消耗数据的非季节性部分。 然后从历史公用事业消费数据中减去非季节性部分,以获得历史公用事业消费数据的季节性部分。 季节性和/或非季节性部分可以通过最终用途方法进一步分解,并在用电消费概况中呈现给用户。
    • 7. 发明申请
    • UTILITY CONSUMPTION DISAGGREGATION
    • 实用消费歧视
    • US20140207708A1
    • 2014-07-24
    • US14219380
    • 2014-03-19
    • Martha AmramDoug Sauder
    • Martha AmramDoug Sauder
    • G06Q50/06G06Q10/00
    • G06Q50/06G06Q10/00G06Q30/04
    • A computer-implemented method for itemizing energy consumption to generate and present a utility consumption profile based on disaggregated historical utility consumption data is presented. The computer-implemented method comprises obtaining data indicating historical utility consumption of a dwelling over a time period. A non-seasonal portion of the historical utility consumption data is then determined by first computing an average utility consumption based on one or more predetermined intervals within the time period, and then computing the non-seasonal portion by applying the average to the time period. The non-seasonal portion is then subtracted from the historical utility consumption data to obtain a seasonal portion of the historical utility consumption data. The seasonal and/or non-seasonal portion may be further disaggregated by end-use methods, and presented to the user in the utility consumption profile.
    • 提出了一种计算机实现的能量消耗分类方法,用于根据分解的历史效用消耗数据生成并呈现效用消耗曲线。 计算机实现的方法包括获取表示一段时间内住宅的历史功耗消耗的数据。 然后,通过首先基于该时间段内的一个或多个预定间隔来计算平均效用消耗,然后通过将平均值应用于该时间段来计算非季节性部分来确定历史效用消耗数据的非季节性部分。 然后从历史公用事业消费数据中减去非季节性部分,以获得历史公用事业消费数据的季节性部分。 季节性和/或非季节性部分可以通过最终用途方法进一步分解,并在用电消费概况中呈现给用户。