An intelligent and efficient method for abnormal line loss analysis based on heterogeneous information.
Publication Date: 2014-Jan-22
The IP.com Prior Art Database
In this article, Smart meter data has been model as signal , signal decomposition and further denoising model construction based on frequency spectrum analysis. Furthermore, a innovative Framework has been proposed by us for power standby consumption estimation.
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An intelligent and efficient method for abnormal line loss analysis based on heterogeneous information
An intelligent and efficient method for abnormal line loss analysis based on heterogeneous information. .
Standby power consumption
Standby power consumption, like vampires sucking blood, often takes place unnoticeably, the negligence of which often leads to intangible energy waste.
Standby power consumption typically refers to the power consumed by electrical devices that cannot be switched off completely
without being unplugged or not providing their primary services, such as some industry machines, TVs, microwave ovens, air conditioners, etc. These products often draw power 24 hours a day without the awareness of the consumer. This invisible power is consumed by power supplies converting AC into DC, the sensors and circuits needed to receive remote signal, soft keypads and displays, or the device circuits that continue to be energized even when the power is off.
The increasing number of electric utilities makes standby power consumption no longer negligible with respect to the total electricity consumption of the industry or households.
Several studies have documented that standby power loss averages between 20W to 90W per home, ranging from 4% to 14% of total residential electricity use in different countries.
Standby power consumption varies with different users and with different application apparatus , which makes the measurement of
standby losses difficult.
One method to determine standby consumption of one user in a house or a factory is bottom -up estimation which calculates the statistic data by counting the number of appliances and multiplies the data by the average consumption of each device measured by energy meter.
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This method, however, fails to get individual user's standby energy because some new type of devices almost have no standby energy .
Besides, smallest wattage is used in this method to represent standby power consumption of each domestic appliance , but the statistic data implies that standby power loss is not a fixed value even for the same device, since it varies with time.
To be more specific, it fl...