Transient dataset of household appliances with Intensive switching events
收藏科学数据银行2024-07-01 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=876623ff38634ccb8426b07146720914
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资源简介:
This is a dataset for energy load monitoring, where we use self-developed high-frequency acquisition equipment to sample the current and voltage at the instant of startup of single appliances and aggregated appliances, with a sampling frequency of up to 51.2kHz. Data file, data to the current and voltage of a cycle (20ms) as a record for storage, each record contains the current or voltage collected during the cycle of 1024 points of the original value (Value), the collection and marking system common timestamp mark (RecvTime, the timestamp can be accurate to the milliseconds), the number of sampling points of each waveform (used to increase the frequency of the sampling later to the The current position is 1024 sampling points, Rate = 1024), sampling channel (Channel = 1 for voltage, Channel = 2 for current), room number (Home, the room number is not the real room number, but our laboratory according to the actual situation of the simulation of the home electricity environment number), microcontroller RTC time (DeviceTime, the property has no special meaning, and is only used alone for the purpose of the system. attribute has no special meaning and is only used alone to check the integrity of the data file). Marking file, each record of the file by the collection and marking system common timestamp marking (RecvTime, the timestamp can be accurate to the milliseconds), on the appliance switching event records (event, a single appliance marking format: appliance number - appliance switching; aggregated data marking format: socketx:0/1).The acquisition device is calculated to have a linearity of 99.5818% and 99.7789% for both voltage and current, which allows the acquisition device to accurately capture subtle signal changes in voltage and current.Data collection demo scenarios have been posted on http://f-lab.ncepu.edu.cn/?id=3&UrlID=0.
提供机构:
Yumei Ma; North China Electric Power University; Dongyang Zhang; Wenqing Zhao; Xiaohu Zhang
创建时间:
2023-11-07



