发明授权
- 专利标题: Systems and methods for data anomaly detection
- 专利标题(中): 数据异常检测系统和方法
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申请号: US13213899申请日: 2011-08-19
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公开(公告)号: US08781767B2公开(公告)日: 2014-07-15
- 发明人: Bethany Hoogs , Jason Black , Yi Zhang , Weiwei Chen , Ming Li
- 申请人: Bethany Hoogs , Jason Black , Yi Zhang , Weiwei Chen , Ming Li
- 申请人地址: US NY Niskayuna
- 专利权人: General Electric Company
- 当前专利权人: General Electric Company
- 当前专利权人地址: US NY Niskayuna
- 代理商 Nitin N. Joshi
- 主分类号: G06F19/00
- IPC分类号: G06F19/00
摘要:
Systems and methods for performing data anomaly detection and/or removal are usable to accurately assess baseline power consumption. According to one embodiment of the invention, a system can be provided. The system can be operable to receive energy consumption data of a location; select, based at least in part on a collection period of the energy consumption data, an algorithm for detecting anomalies in the energy consumption data; perform the algorithm on the energy consumption data to detect the anomalies in the energy consumption data; and determine an energy consumption baseline for the location based at least in part on a result of the algorithm.
公开/授权文献
- US20130046493A1 SYSTEMS AND METHODS FOR DATA ANOMALY DETECTION 公开/授权日:2013-02-21
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