AU2019218021B2 - Non-intrusive load identification-based submetering smart electricity meter - Google Patents
Non-intrusive load identification-based submetering smart electricity meter Download PDFInfo
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- 230000005611 electricity Effects 0.000 title abstract 9
- 238000005070 sampling Methods 0.000 claims description 31
- 238000004364 calculation method Methods 0.000 claims description 24
- 238000004891 communication Methods 0.000 claims description 9
- 238000000354 decomposition reaction Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 description 12
- 230000006870 function Effects 0.000 description 10
- 238000010586 diagram Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 6
- 238000009434 installation Methods 0.000 description 6
- 238000012423 maintenance Methods 0.000 description 4
- 238000005259 measurement Methods 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 3
- 230000004044 response Effects 0.000 description 3
- 230000006399 behavior Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 238000004134 energy conservation Methods 0.000 description 2
- 238000005265 energy consumption Methods 0.000 description 2
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- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R21/00—Arrangements for measuring electric power or power factor
- G01R21/133—Arrangements for measuring electric power or power factor by using digital technique
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R22/00—Arrangements for measuring time integral of electric power or current, e.g. electricity meters
- G01R22/06—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods
- G01R22/10—Arrangements for measuring time integral of electric power or current, e.g. electricity meters by electronic methods using digital techniques
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Abstract
A submetering smart electricity meter based on non-intrusive load identification, comprising a non-intrusive load identification module integrated at an inner part of a smart electricity meter, wherein the non-intrusive load identification module may be printed on a circuit main board of the smart electricity meter, or the non-intrusive load identification module is connected to the circuit main board of the smart electricity meter by means of a connector, and the non-intrusive load identification module is installed in a smart electricity meter box or in a module placement bin (1) of the smart electricity meter; and the non-intrusive load identification module is used to identify various types of loads installed indoors, separately calculate a submetering result for each load type, and output corresponding submetering results. Non-intrusive load identification is integrated with existing smart electricity meters, thus improving metering levels of the existing smart electricity meters, and providing more abundant power consumption information to a user. The present invention has good application prospects.
Description
Technical Field
The present invention relates to a submetering smart power meter based on
non-intrusive load identification, and relates to the technical field of power metering.
Background
Any discussion of the prior art throughout the specification should in no way be considered
as an admission that such prior art is widely known or forms part of common general knowledge
in the field.
Load identification technology is an emerging advanced measurement technology of a
smart grid. Different from the current smart power meter which only measures the total
power consumption of residential users, the load identification technology aims at acquiring
fine-grained power utilization behavior behaviors of users, and is one of important research
fields of smart power consumption.
The current load identification technology is classified into two methods: intrusive load
identification methodand non-intrusive load identification method. A smart socket is a
representation of the intrusive load identification method, but needs to be installed inside the
house, and has disadvantages such as difficulties in promotion and maintenance, low on-line
rate, and high costs. The non-intrusive load identification method only needs to sample the
voltage and current of the user total incoming line, and then to identify a load by means of
an algorithm. The method has the advantages such as convenient installation and
maintenance, non-inductive to a user, and easy large-scale promotion, has the disadvantage
of slightly low identification accuracy, but is enough to satisfy the requirements of advanced
applications for supply and demand interaction.
At present, the non-intrusive load identification method uses an external terminal mode,
i.e., identification is performed between an external terminal and a plurality of current
transformers in a standard meter box of the smart power meter. However, no position is
available for such type of terminals in the standard meter box where smart power meters in the prior art are installed. In consideration of a measurement function of the smart power meter itself, advanced applications of a power consumption side such as demand response and energy efficiency analysis need to be implemented by means of the smart power meter in the future. Therefore, integrating the non-intrusive load identification method to the smart power meter is the only way, and how to implement the method is the current problem that needs to be solved.
Summary
According to an aspect of the present invention, there is provided a smart power meter based on non-intrusive load identification, comprising a non-intrusive load identification module integrated in the smart power meter, wherein: the non-intrusive load identification module is printed on a main circuit board of the smart power meter, or installed in a module placement chamber of the smart power meter and connected to the main circuit board by a connector; the non-intrusive load identification module comprises a signal input unit, a load identification and calculation unit, a load model library, and a communication unit and is configured to identify different types of loads installed indoors, to calculate a metering result for each load type, and to output the metering result; the signal input unit is connected to a metering chip voltage and current acquisition signal line on the main circuit board and configured to sample digital signals at a sampling frequency lower than 1 Khz, or connected to voltage and current analog signal lines at an incoming line terminal of the smart power meter and configured to sample analog signals at a sampling frequency in the range of 1 kHz-lOkHz; the load identification and calculation unit is connected to the signal input unit and configured to call the load model library and identify load types according to voltage and current signals received in real time, and to calculate a metering result of each load type; the load model library is configured to store feature models of known load types classified according to load characteristics of electric appliances, and is configured to be called by a load identification algorithm unit, wherein each feature model comprises a fixed identifier and operation characteristic information of the corresponding load type; and the communication unit is respectively connected to the load identification and calculation unit and the load model library, and is configured to output load type identification results of the load identification and calculation unit and metering results of each load type, wherein the output comprises on-site display and remote display, wherein the load identification and calculation unit is configured to call the load model library and identify load types according to the voltage and current signals received in real time by: step (A), extracting current sampling data in all acquisition periods within a current 2 minute time period, and performing Fourier decomposition to obtain the 1st-19th harmonic components in the current sampling data; step (B), respectively calculating differences between the st-1 9th harmonic components in the current sampling data and harmonic component feature values corresponding to the various types of loads in the load model library, and calculating a weighted sum value corresponding to each harmonic component; and step (C), selecting the smallest weighted sum value and a corresponding load type to complete the identification of the load type.
The purpose of the present invention is to overcome the problem in the prior art that a
non-intrusive load identification method uses an external terminal mode. According to a
submetering smart power meter based on non-intrusive load identification of the present
invention, non-intrusive load identification and the existing smart power meter are
integrated as a whole; the existing smart power metering level is improved; more abundant
power consumption information is provided for a user; the submetering result of each load
type is covered and includes a load start/stop time, a load operation duration, and power
consumption of the load of the load type and the present invention has a good application
prospect.
To achieve the purpose above, the present invention adopts the following technical
A solutions:
a submetering smart power meter based on non-intrusive load identification, including a
non-intrusive load identification module integrated in the smart power meter, where
the non-intrusive load identification module is printed on a circuit main board of the
smart power meter,
or the non-intrusive load identification module is connected to the circuit main board of
the smart power meter by means of a connector, and the non-intrusive load identification
module is installed in a module placement bin of the smart power meter; and
the non-intrusive load identification module is configured to identify various types of
loads installed indoors, respectively calculate a submetering results of each load type, and output the corresponding submetering result.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the non-intrusive load identification module includes a signal input unit, a load
identification and calculation unit, a load model library, and a communication unit, where
the signal input unit is connected to a metering chip voltage and current acquisition signal
line on the circuit main board of the smart power meter, a sampling signal is a digital signal, and
a sampling frequency is less than 1 kHz;
or the signal input unit is connected to voltage and current analog signal lines at an incoming
line terminal of the smart power meter, the sampling signal is an analog signal, and the sampling
frequency is in a range of 1 kHz-10 kHz;
the load identification and calculation unit is connected to the signal input unit, is configured
to call the load model library and identify load types according to voltage and current signals
received in real time, and further calculate the submetering result of each load type;
the load model library is configured to store feature models of known loads classified
according to load characteristics of an electric appliance, and is called by a load identification
algorithm unit, where the feature model includes a fixed identifier and operation characteristic
information of the load; and
the communication unit is respectively connected to the load identification and calculation
unit and the load model library, and is configured to output results of load type identification of
the load identification and calculation unit and the submetering result of each load type, where
an output mode includes on-site display and remote display.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the load identification and calculation unit is connected to the signal input unit,
and is configured to call the load model library and identify load types according to the voltage
and current signals received in real time; the operation includes the following steps:
step (A), extracting current sampling data in all acquisition periods within the current 2
minutes, and performing Fourier decomposition to obtain the 1st-19th harmonic components in
the current sampling data; step (B), respectively calculating differences between the1st-1 9 th harmonic components in the current sampling data and harmonic component feature values corresponding to the various types of loads in the load model library, and calculating a weighted sum value corresponding to each harmonic component; and step (C), selecting the smallest weighted sum value and a corresponding load type to complete the identification of the load type.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the load identification and calculation unit further calculates the submetering
result of each load type; the operation is to extract, according to the voltage and current
signals received in real time, data required by submetering, where the data is a current value,
a voltage value, a start/stop time, a duration, a start/stop current, each harmonic, a current
waveform, and a crest coefficient.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the submetering result of each load type includes a load start/stop time, a load
operation duration, power consumption of the load, and load power of the load type, where
the power consumption of the load refers to the sum of power consumed by the type of loads
or the power consumed within a certain time period.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the load model library is configured to store the feature models of the known
loads classified according to the load characteristics of the electric appliance, and by
learning and updating, a new load type will be able to added to the load model library.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the smart power meter is a single-phase smart power meter or a three-phase
smart power meter.
According to the foregoing submetering smart power meter based on non-intrusive load
identification, the non-intrusive load identification module further includes a power supply
unit configured to provide a voltage for the non-intrusive load identification module.
The present invention includes the following beneficial effects: according to the
submetering smart power meter based on non-intrusive load identification of the present invention, non-intrusive load identification and the existing smart power meter are integrated as a whole; the existing smart power metering level is improved; more abundant power consumption information is provided for a user; the submetering result of each load type is covered and includes a load start/stop time, a load operation duration, and power consumption of the load of the load type and the present invention has the following advantages.
(1) By combining submetering and the existing power meter technology, the appearance design of the existing smart power meter does not need to be changed; other existing functions of the power meter are not influenced; a current and voltage measurement circuit of the power meter is fully utilized to obtain information required by a submetering function and complete load identification and submetering; more refined submetering function is supplemented on the basis of the original functions of the power meter; and more abundant power consumption information and corresponding service are provided for the user.
(2) The non-intrusive submetering smart power meter does not need to be added with an additional terminal device; the layout and wiring of a meter box of the power meter keep unchanged; data acquisition may use the current existing acquisition system, and such power meter does not need to be installed inside the house, so that the difficulty in installation and maintenance is reduced to the maximum extent. The cost of the power meter added with the load identification module is not increased much, and the power meter may be updated in batches according to a power meter rotation strategy to reduce the installation costs.
(3) After the non-intrusive submetering smart power meter is installed, submetering power data, for example, contents such as a load type, load start/stop information, subentry load power consumption, subentry load energy consumption analysis, and energy-saving guidance, may be obtained by means of a handheld terminal such as a mobile phone; refined management of power on a power consumption side such as demand response is achieved by giving the load start/stop information, and a powerful means is provided for a country for implementing a national policy such as energy conservation and emission reduction.
Unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is to say, in the sense of "including, but not limited to".
Brief Description of the Drawings
FIG. 1 is a back view of a schematic diagram in which a non-intrusive load
identification module is installed in a module placement bin of a smart power meter of the
present invention;
FIG. 2 is a schematic structural diagram of a module placement bin of the present
invention;
FIG. 3 is a connection schematic diagram in which an acquisition signal of a
non-intrusive load identification module is a digital signal of the present invention;
FIG. 4 is a connection schematic diagram in which an acquisition signal of a
non-intrusive load identification module is an analog signal of the present invention;
FIG. 5 is a system block diagram of a non-intrusive load identification module of the
present invention.
Detailed Description
The present invention is further descried blow in combination with the accompanying
drawings of the specification. The following embodiments are merely used for more clearly
describing the technical solutions of the present invention, but are not intended to limit the
scope of protection of the present invention.
A submetering smart power meter based on non-intrusive load identification of the
present invention includes a non-intrusive load identification module integrated in a smart
power meter, where
the non-intrusive load identification module is printed on a circuit main board of the
smart power meter,
or the non-intrusive load identification module is connected to the circuit main board of
the smart power meter by means of a connector, and the non-intrusive load identification
module is installed in a module placement bin of the smart power meter, where a schematic
diagram in which the non-intrusive load identification module is installed in a module
placement bin of asmart power meter is as shown in FIG. 1 and FIG. 2, the module
placement bin is numbered as 1 and a smart power meter body is numbered as 2.
The non-intrusive load identification module is configured to identify various types of loads
mounted indoors, respectively calculate a submetering result of each load type, and output the
corresponding submetering result.
As shown in FIG. 5, the non-intrusive load identification module includes a signal input unit,
a load identification and calculation unit, a load model library, and a communication unit, where
the signal input unit is connected to a metering chip voltage and current acquisition signal
line on the circuit main board of the smart power meter, a sampling signal is a digital signal, and
a sampling frequency is less than 1 kHz as shown FIG. 3;
or the signal input unit is connected to voltage and current analog signal lines at an incoming
line terminal of the smart power meter, the sampling signal is an analog signal, and the sampling
frequency is in a range of 1 kHz-10 kHz as shown in FIG. 4.
The present invention uses two sampling modes, i.e., a digital signal sampling mode, which
is convenient in wiring and facilitates installation, and an analog signal sampling mode, which is
slightly inconvenient in installation, but has a higher sampling precision than the digital signal
sampling mode; a user may select the modes according to requirements.
The non-intrusive load identification module includes the signal input unit, the load
identification and calculation unit, the load model library, and the communication unit.
The non-intrusive load identification module further includes a power supply unit
configured to provide a voltage for the non-intrusive load identification module.
The load identification and calculation unit is connected to the signal input unit, is
configured to call the load model library and identify load types according to voltage and current
signals received in real time, and further calculate the submetering result of each load type.
The load model library is configured to store feature models of known loads classified
according to load characteristics of an electric appliance, and is called by a load identification
algorithm unit, where the feature model includes a fixed identifier and operation characteristic
information of the load, for example, 01-type load is air-conditioning-type load, and 02-type load
is resistance-type load, and so forth; in the next place, the model library stores detailed
information for characteristics of various types of known loads, for example, for the
air-conditioning-type load, the load model library records information such as a current change time sequence during starting/stopping of the load, a feature during operation, and each harmonic component during starting/stopping.
The communication unit is respectively connected to the load identification and
calculation unit and the load model library, and is configured to output results of load type
identification of the load identification and calculation unit and the submetering result of
each load type, where an output mode includes on-site display and remote display.
The load identification and calculation unit is connected to the signal input unit, and is
configured to call the load model library and identify the load types according to the voltage
and current signals received in real time; the operation includes the following steps:
step (A), extracting current sampling data in all acquisition periods within the current 2
minutes, and performing Fourier decomposition to obtain the 1st-19th harmonic components
in the current sampling data
step (B), respectively calculating differences between the 1st-19th harmonic
components in the current sampling data and harmonic component feature values
corresponding to the various types of loads in the load model library, and calculating a
weighted sum value corresponding to each harmonic component; and
step (C), selecting the smallest weighted sum value and a corresponding load type to
complete the identification of the load type.
Preferably, the load identification and calculation unit further calculates the submetering
result of each load type; the operation is to extract, according to the voltage and current
signals received in real time, data required by submetering, where the data is a current value,
a voltage value, a start/stop time, a duration, a start/stop current, each harmonic, a current
waveform, and a crest coefficient; for example, voltage and current information is obtained
from the metering chip voltage and current acquisition signal line of the smart power meter
in a frequency of 1 kHz; a magnitude, a change rate, a change time, and a fluctuation
condition of all sampling data in a sampling period are extracted every 2 minutes, the crest
coefficient is calculated, and Fourier series decomposing is performed on the signals; and
the frequency of 1 kHz may obtain information of the st-1 9th harmonic components.
Preferably, the submetering result of each load type includes a load start/stop time, a load operation duration, power consumption of the load, and load power of the load type, where the power consumption of the load refers to the sum of power consumed by the type of loads or the power consumed within a certain time period.
Preferably, the load model library is configured to store the feature models of the known
loads classified according to the load characteristics of the electric appliance, and by learning
and updating, a new load type will be able to added to the load model library. Two learning and
update methods include: method I which is to perform self-learning on the load model library by
means of local, and then to identify the type of loads, and method II which is to report
unidentified load information to a remote terminal, and then to receive an updated load model
library sent by the remote terminal after processing of the remote terminal, so that a new load
may be identified.
Preferably, the smart power meter is the single-phase smart power meter or the three-phase
smart power meter, so that the submetering smart power meter based on non-intrusive load
identification of the present invention further have other functions of the existing power meter.
In summary, according to the submetering smart power meter based on non-intrusive load
identification of the present invention, non-intrusive load identification and the existing smart
power meter are integrated as a whole; the existing smart power metering level is improved;
more abundant power consumption information is provided for a user; the submetering result of
each load type is covered and includes a load start/stop time, a load operation duration, and
power consumption of the load of the load type and the present invention has the following
advantages.
(1) By combining submetering and the existing power meter technology, the appearance
design of the existing smart power meter does not need to be changed; other existing functions of
the power meter are not influenced; a current and voltage measurement circuit of the power
meter is fully utilized to obtain information required by a submetering function and complete
load identification and submetering; more precise submetering function is supplemented on the
basis of the original functions of the power meter; and more abundant power consumption
information and corresponding service are provided for the user.
(2) The non-intrusive submetering smart power meter does not need to be provided with an additional terminal device; the layout and wiring of a meter box of the power meter keep unchanged; data acquisition may use the current existing acquisition system, and such power meter does not need to be installed inside the house, so that the difficulty ininstallation and maintenance is reduced to the maximum extent. The cost of the power meter added with the load identification module isnot increased much, and the power meter may be updated in batches according to apower meter rotation strategy to reduce the installation costs.
(3) After the non-intrusive submetering smart power meter is installed, submetering power data, for example, contents such as a load type, load start/stop information, subentry load power consumption, subentry load energy consumption analysis, and energy-saving guidance, may be obtained by means of a handheld terminal such as a mobile phone; refined management of power on apower consumption side such as demand response is achieved by giving the load start/stop information, and a powerful means is provided for a country for implementing a national policy such as energy conservation and emission reduction.
The basic principles, major features and advantages of the present invention are displayed and described above. Those skilled in the art should understand that the present invention is not limited by the present invention in any form. The aforementioned embodiments and specification merely describe the principle of the present invention, and the present invention further has various variations and improvements without departing from the spirit or the scope of the present invention. These variations and improvements all A fall within the scope of protection of the present invention. The scope of protection of the present invention is defined by appended claims and equivalents thereof.
Claims (6)
- CLAIMS 1. A smart power meter based on non-intrusive load identification, comprising a non-intrusive load identification module integrated in the smart power meter, wherein: the non-intrusive load identification module is printed on a main circuit board of the smart power meter, or installed in a module placement chamber of the smart power meter and connected to the main circuit board by a connector; the non-intrusive load identification module comprises a signal input unit, a load identification and calculation unit, a load model library, and a communication unit and is configured to identify different types of loads installed indoors, to calculate a metering result for each load type, and to output the metering result; the signal input unit is connected to a metering chip voltage and current acquisition signal line on the main circuit board and configured to sample digital signals at a sampling frequency lower than 1 Khz, or connected to voltage and current analog signal lines at an incoming line terminal of the smart power meter and configured to sample analog signals at a sampling frequency in the range of1 kHz-OkHz; the load identification and calculation unit is connected to the signal input unit and configured to call the load model library and identify load types according to voltage and current signals received in real time, and to calculate a metering result of each load type; the load model library is configured to store feature models of known load types classified according to load characteristics of electric appliances, and is configured to be called by a load identification algorithm unit, wherein each feature model comprises a fixed identifier and operation characteristic information of the corresponding load type; and the communication unit is respectively connected to the load identification and calculation unit and the load model library, and is configured to output load type identification results of the load identification and calculation unit and metering results of each load type, wherein the output comprises on-site display and remote display, wherein the load identification and calculation unit is configured to call the load model library and identify load types according to the voltage and current signals received in real time by: step (A), extracting current sampling data in all acquisition periods within a current 2 minute time period, and performing Fourier decomposition to obtain the 1st-19th harmonic components in the current sampling data; step (B), respectively calculating differences between the 1st-1 9th harmonic components in the current sampling data and harmonic component feature values corresponding to the various types of loads in the load model library, and calculating a weighted sum value corresponding to each harmonic component; and step (C), selecting the smallest weighted sum value and a corresponding load type to complete the identification of the load type.
- 2. The smart power meter of claim 1, wherein the load identification and calculation unit isfurther configured to calculate the metering result of each load type by extracting, according tothe voltage and current signals received in real time, data required by said metering, wherein thedata comprises one or more of a current value, a voltage value, a start/stop time, a duration, astart/stop current, each harmonic, a current waveform, and a crest coefficient.
- 3. The smart power meter of claim 2, wherein the metering result of each load typecomprises a load start/stop time, a load operation duration, power consumption of the load, andload power of the load type, and wherein the power consumption of the load refers to the sum ofpower consumed by the type of loads or the power consumed within a certain time period.
- 4. The smart power meter of claim 1, wherein the load model library is configured to updateitself by adding new load types to the load model library.
- 5. The smart power meter of claim 1,being a single-phase smart power meter or athree-phase smart power meter.
- 6. The smart power meter of claim 1, wherein the non-intrusive load identification modulefurther comprises a power supply unit configured to provide a voltage for the non-intrusive loadidentification module.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810132483.9 | 2018-02-09 | ||
| CN201810132483.9A CN108362938B (en) | 2018-02-09 | 2018-02-09 | Sub-item metering smart energy meter based on non-intrusive load identification |
| PCT/CN2019/072503 WO2019154050A1 (en) | 2018-02-09 | 2019-01-21 | Non-intrusive load identification-based submetering smart electricity meter |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| AU2019218021A1 AU2019218021A1 (en) | 2020-10-01 |
| AU2019218021B2 true AU2019218021B2 (en) | 2024-06-06 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| AU2019218021A Active AU2019218021B2 (en) | 2018-02-09 | 2019-01-21 | Non-intrusive load identification-based submetering smart electricity meter |
Country Status (4)
| Country | Link |
|---|---|
| CN (1) | CN108362938B (en) |
| AU (1) | AU2019218021B2 (en) |
| GB (1) | GB2585588B (en) |
| WO (1) | WO2019154050A1 (en) |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108362938B (en) * | 2018-02-09 | 2019-10-22 | 国网江苏省电力有限公司电力科学研究院 | Sub-item metering smart energy meter based on non-intrusive load identification |
| CN109188041B (en) * | 2018-11-06 | 2021-08-31 | 浙江方大智控科技有限公司 | Intelligent electric meter with electricity utilization control function |
| CN109188040B (en) * | 2018-11-06 | 2021-09-07 | 浙江方大智控科技有限公司 | Multi-mode intelligent ammeter |
| CN109596917A (en) * | 2018-12-07 | 2019-04-09 | 江苏智臻能源科技有限公司 | A kind of non-load identification efficient detection method of registering one's residence |
| CN110018344A (en) * | 2019-02-21 | 2019-07-16 | 国网山东省电力公司临沂供电公司 | The electric energy metering device for having identification power load function |
| CN109870600B (en) * | 2019-04-04 | 2021-07-02 | 江苏林洋能源股份有限公司 | Non-invasive load identification method with self-learning capability and intelligent electric meter |
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| GB2585588A (en) | 2021-01-13 |
| AU2019218021A1 (en) | 2020-10-01 |
| GB202014179D0 (en) | 2020-10-21 |
| WO2019154050A1 (en) | 2019-08-15 |
| CN108362938A (en) | 2018-08-03 |
| GB2585588B (en) | 2022-03-16 |
| CN108362938B (en) | 2019-10-22 |
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