发明名称 Systems and Methods for Optimizing Energy Usage Using Energy Disaggregation Data and Time of Use Information
摘要 The present invention is generally directed to systems and methods for optimizing energy usage in a household. For example, methods for optimizing energy usage in a household may include steps of: receiving, using an energy optimization device, entire energy profile data associated with the household; obtaining, using the energy optimization device, time of use (TOU) energy pricing structure; processing, the entire energy profile data to generate disaggregated appliance level data related to one or more appliances used in the household; retrieving historical patterns of energy usage of the household during both peak and non-peak time periods; applying a behavior shift analysis on the disaggregated data based at least in part on the TOU energy pricing structure, disaggregated data, and historical patterns of the energy usage; and predicting potential energy savings based at least in part on the behavior shift analysis.
申请公布号 US2016070286(A1) 申请公布日期 2016.03.10
申请号 US201514845189 申请日期 2015.09.03
申请人 Gupta Abhay;Garud Vivek 发明人 Gupta Abhay;Garud Vivek
分类号 G05F1/66;G05B13/02 主分类号 G05F1/66
代理机构 代理人
主权项 1. A method for optimizing energy usage in a household, the method comprising: receiving, using an energy optimization device, entire energy profile data associated with the household; obtaining, using the energy optimization device, time of use (TOU) energy pricing structure; processing, using the energy optimization device, the entire energy profile data to generate disaggregated appliance level data related to one or more appliances used in the household; retrieving, using the energy optimization device, historical patterns of energy usage of the household during both peak and non-peak time periods; applying a behavior shift analysis on the disaggregated data based at least in part on the TOU energy pricing structure, disaggregated data, and historical patterns of the energy usage; and predicting potential energy savings based at least in part on the behavior shift analysis.
地址 Cupertino CA US