CN110930034B - Electric power spot market settlement metering data verification method, device and medium - Google Patents

Electric power spot market settlement metering data verification method, device and medium Download PDF

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CN110930034B
CN110930034B CN201911169178.8A CN201911169178A CN110930034B CN 110930034 B CN110930034 B CN 110930034B CN 201911169178 A CN201911169178 A CN 201911169178A CN 110930034 B CN110930034 B CN 110930034B
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刘嘉逊
张�杰
鄂宇航
龚学良
曾智健
姚星安
张文瀚
詹卫许
杨威
吴敬慧
杨柳
李凯欣
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Guangdong Electric Power Transaction Center Co ltd
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Abstract

The invention discloses a method for verifying electric power spot market settlement metering data, which comprises the following steps: collecting the power consumption of a user in a preset time; judging whether the electricity consumption of the user is abnormal specifically comprises: judging whether a user has a special transformer or not; if so, acquiring the capacity of the special transformer within the preset time, if the electricity consumption is larger than the capacity of the special transformer, the electricity consumption of the user is abnormal, if not, acquiring the predicted electricity consumption value range of the user according to a user historical electricity consumption database, and if the electricity consumption is outside the predicted electricity consumption value range, the electricity consumption of the user is abnormal; and if the power consumption of the user is abnormal, sending a power consumption verification request to a preset mobile terminal of the user, and if the power consumption of the user is normal, sending a settlement data confirmation request to the preset mobile terminal of the user. The invention can realize accurate and reliable settlement of the electricity charge of the electricity user.

Description

Electric power spot market settlement metering data verification method, device and medium
Technical Field
The invention relates to the field of electric power markets, in particular to a method, a device and a medium for checking electric power spot market settlement metering data.
Background
The electric energy metering is an important link of electric power production, safe operation of a power grid and settlement of electric charges, and the fairness, justness and accuracy of electric power transaction settlement are influenced by the accuracy of the electric energy metering, so that the economic benefits of power generation enterprises, power grid enterprises, electricity selling companies and vast electric power users are concerned. Along with the development of the electric power spot market, the number of market main bodies is continuously increased, the transaction time sequence is continuously refined, and higher requirements are provided for the acquisition frequency and the acquisition quality of electric energy data.
At present, when an electric energy meter measures the electricity consumption of an electric power consumer, the voltage and the current of the electric power consumer need to be collected at the same time, and then the electricity consumption is calculated. Due to the influence of factors such as electricity stealing of users and metering loop faults, the phenomenon that the metering voltage is abnormal can occur to some power users, namely the voltage of the power users acquired by the electric energy meter is not in a normal range, so that the metering accuracy of the electric energy meter is influenced, economic loss is caused to a power supply company, and the social image of the power supply company is damaged.
The electricity consumption of a special power transformer user is large, and if the metering voltage of the special power transformer user is abnormal, the special power transformer user causes large economic loss for a power supply company. Like ordinary power users, the special power users have the characteristics of numerous quantity and scattered regions, the efficiency is low by manually checking and measuring voltage abnormity, and the actual requirements are difficult to meet, so that an accurate and reliable method for checking the settlement and measurement data of the power spot market is urgently needed.
Disclosure of Invention
In order to solve the above problems, an object of the present invention is to provide a method, an apparatus, and a medium for checking electric power spot market settlement measurement data, which can realize accurate and reliable electric power fee settlement for electric power consumers.
Based on this, the invention provides a method for verifying electric power spot market settlement metering data, which comprises the following steps:
collecting the power consumption of a user in a preset time;
judging whether the power consumption of the user is abnormal specifically comprises the following steps: judging whether a user has a special transformer or not; if so, acquiring the capacity of the special transformer within the preset time, if the electricity consumption is larger than the capacity of the special transformer, the electricity consumption of the user is abnormal, if not, acquiring a historical electricity consumption database of the user, acquiring an electricity consumption predicted value range of the user according to the historical electricity consumption database, and if the electricity consumption is outside the electricity consumption predicted value range, the electricity consumption of the user is abnormal;
if the power consumption of the user is abnormal, sending a power consumption verification request to the mobile terminal preset by the user, wherein the power consumption verification request comprises power consumption time, power consumption and power consumption price, and if the power consumption of the user is normal, sending a settlement data confirmation request to the mobile terminal preset by the user.
Wherein the obtaining of the capacity of the dedicated transformer within the preset time includes:
Q=P max ×T
wherein, the P is max And the rated active power of the special transformer is T, the preset time is T, and Q is the capacity of the special transformer.
The step of obtaining the predicted value range of the electric quantity of the user according to the historical electricity utilization database comprises the following steps:
acquiring the power consumption in a preset check period in the preset historical power consumption database as a power consumption standard;
the upper limit of the electric quantity predicted value range is the product of the electricity consumption reference and a preset upper limit threshold value proportion;
and the lower limit of the predicted electric quantity value range is the product of the electricity consumption reference and a preset lower limit threshold value proportion.
Wherein the preset check period comprises one or more of hours, days and months.
Wherein, obtaining the electricity consumption in a preset check cycle in the preset historical electricity consumption database as an electricity consumption standard comprises:
Q i =y(x n+1 )-y(x n )
y=B×x+A
wherein Q i And the reference of the electricity consumption is, y is the accumulated electricity consumption of the user, x is a preset check period, and A and B are constants.
Wherein, the acquisition process of A and B comprises the following steps:
Figure BDA0002285449670000031
Figure BDA0002285449670000032
wherein,
Figure BDA0002285449670000033
and calculating the average of x and y based on the historical effective metering data, wherein n is the historical accumulated settlement metering times.
And receiving a power consumption verification result of the user, and correcting the power consumption of the user according to the power consumption verification result.
The invention also provides a device for checking the electric power spot market settlement metering data, which comprises:
the acquisition module is used for acquiring the electricity consumption of a user within preset time;
the judging module is used for judging whether the electricity consumption of the user is abnormal or not, and specifically comprises the following steps: judging whether a user has a special transformer or not; if yes, acquiring the capacity of the special transformer within the preset time, if the power consumption is larger than the capacity of the special transformer, the power consumption of the user is abnormal, if not, acquiring a historical power consumption database of the user, acquiring a predicted value range of the power consumption of the user according to the historical power consumption database, and if the power consumption is outside the predicted value range of the power consumption, the power consumption of the user is abnormal;
and the sending request module is used for sending a power consumption verification request to the mobile terminal preset by the user if the power consumption of the user is abnormal, wherein the power consumption verification request comprises power consumption time, power consumption and power consumption price, and if the power consumption of the user is normal, the sending request is confirmed by settlement data to the mobile terminal preset by the user.
An embodiment of the present invention further provides a terminal device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and is characterized in that the processor implements the steps of the method when executing the computer program.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored, where the computer program is executed by a processor to implement the steps of the foregoing method.
By adopting the invention, firstly, the power consumption of a user in a preset time is collected; judging whether the electricity consumption of the user is abnormal specifically comprises: judging whether a user has a special transformer or not; if yes, acquiring the capacity of the special transformer within the preset time, if the power consumption is larger than the capacity of the special transformer, the power consumption of the user is abnormal, if not, acquiring a historical power consumption database of the user, acquiring a predicted value range of the power consumption of the user according to the historical power consumption database, and if the power consumption is outside the predicted value range of the power consumption, the power consumption of the user is abnormal; if the user's power consumption is unusual, then send power consumption check-up request extremely the predetermined mobile terminal of user, power consumption check-up request includes power consumption time, power consumption price, if the user's power consumption is normal, then send settlement data and confirm the request extremely the predetermined mobile terminal of user can solve the problem that artifical investigation measurement voltage abnormal mode is inefficiency among the prior art, can improve the unusual investigation efficiency of power consumption, improves the rate of accuracy of the unusual investigation of power consumption.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for verifying electric power spot market settlement metering data according to an embodiment of the present invention;
fig. 2 is a flowchart for determining whether the power consumption of the user is abnormal according to the embodiment of the present invention;
fig. 3 is a schematic diagram of an electric power spot market settlement metering data verification apparatus provided by an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
Fig. 1 is a flowchart of a method for verifying electric power spot market settlement metering data according to an embodiment of the present invention, where the method includes:
s101, collecting power consumption of a user within preset time;
the preset time may be hours, days and months;
s102, judging whether the electricity consumption of the user is abnormal or not;
fig. 2 is a flowchart for determining whether the power consumption of the user is abnormal according to the embodiment of the present invention, which specifically includes:
s201, judging whether a user has a special transformer or not;
for industrial and commercial users with special transformers, the maximum upper limit of the power consumption of the users can be estimated according to the capacity of the special transformers.
S202, if the user has a special transformer, acquiring the capacity of the special transformer within the preset time;
the acquiring the capacity of the dedicated transformer within the preset time includes:
Q=P max ×T
wherein, the P max And the rated active power of the special transformer is T, the preset time is T, and Q is the capacity of the special transformer.
S204, judging whether the electricity consumption is larger than the capacity of the special transformer or not;
and judging whether the power consumption of a user in a preset time is larger than the capacity of the special transformer.
S206, if yes, the power utilization of the user is abnormal;
if the power consumption of the user in the preset time is larger than the capacity of the special transformer, metering data acquisition or integration errors are likely to occur, or abnormal excess power consumption of the user occurs.
Meanwhile, it should be noted that if the user owns the dedicated transformer, the historical electricity consumption database of the user may also be obtained, the predicted electricity consumption value range of the user is obtained according to the historical electricity consumption database, and whether the electricity consumption of the user is abnormal is determined by determining whether the electricity consumption is outside the predicted electricity consumption value range, which is the same as the determination method for determining whether the electricity consumption of the user is abnormal when the user does not own the dedicated transformer in steps S203, S205, and S207.
S203, if the user does not have a special transformer, acquiring a historical electricity utilization database of the user, and acquiring an electric quantity predicted value range of the user according to the historical electricity utilization database;
the step of obtaining the predicted value range of the electric quantity of the user according to the historical electricity utilization database comprises the following steps:
acquiring the power consumption in a preset check period in the preset historical power consumption database as a power consumption standard;
the upper limit of the predicted electric quantity value range is the product of the electric quantity reference and a preset upper limit threshold value proportion, the upper limit threshold value proportion can be divided into a general standard and a high standard, the upper limit threshold value proportion in the general standard can be set to be 2, and the lower limit threshold value proportion in the high standard can be set to be 0.5.
The lower limit of the predicted electric quantity range is the product of the electricity consumption reference and a preset lower limit threshold proportion, the lower limit threshold proportion can also be divided into a general standard and a high standard, the upper limit threshold proportion in the general standard can be set to be 1.25, and the lower limit threshold proportion in the high standard can be set to be 0.8.
The preset verification period includes hours, days, weeks, months, etc., please refer to the following table:
Figure BDA0002285449670000061
Figure BDA0002285449670000071
for the condition that the check period is a month, the set upper and lower limit threshold value proportion standard is higher than the check period is a day, the check period is a time, the upper and lower limit threshold value proportion standard which is correspondingly lower is designed, and the setting of the specific upper and lower limit threshold value proportion is analyzed and adjusted by a power market settlement operating mechanism according to the settlement condition of the current period so as to set a reasonable upper and lower limit threshold value proportion, so that the requirement of calculating risk control is met, and the workload of manual check is not additionally increased.
Wherein, acquiring the power consumption in the preset check cycle in the preset historical power consumption database as the power consumption standard may further include:
Q i =y(x n+1 )-y(x n )
y=B×x+A
wherein Q is i And the reference of the electricity consumption is, y is the accumulated electricity consumption of the user, x is a preset check period, and A and B are constants.
Wherein, the acquisition process of A and B comprises the following steps:
Figure BDA0002285449670000081
Figure BDA0002285449670000082
wherein,
Figure BDA0002285449670000083
and calculating the average of x and y based on the historical effective metering data, wherein n is the historical accumulated settlement metering times.
S205, judging whether the electricity consumption is out of the electricity predicted value range;
and judging whether the power consumption of the user is greater than the upper limit of the electric quantity predicted value range, namely the product of the power consumption standard and a preset upper limit threshold value proportion, and judging whether the power consumption of the user is less than the lower limit of the electric quantity predicted value range, namely the product of the power consumption standard and a preset lower limit threshold value proportion.
And S207, if the electricity consumption is out of the predicted electricity quantity range, the electricity consumption of the user is abnormal.
If the electricity consumption of the user in the preset time is larger than the upper limit of the predicted electricity consumption value range, metering data acquisition or integration errors are likely to occur, or abnormal excess electricity consumption of the user occurs.
And if the power consumption of the user in the preset time is less than the lower limit of the range of the predicted value of the power, the user may have the conditions of electricity stealing and electricity leakage.
S103, if the electricity consumption of the user is abnormal, sending an electricity consumption verification request to the mobile terminal preset by the user, wherein the electricity consumption verification request comprises electricity consumption time, electricity consumption and electricity consumption price, and if the electricity consumption of the user is normal, sending a settlement data confirmation request to the mobile terminal preset by the user.
The method also comprises the steps of receiving a power consumption verification result of the user and correcting the power consumption of the user according to the power consumption verification result.
The method and the device can solve the problem that the mode for manually checking the abnormal metering voltage in the prior art is low in efficiency, can improve the checking efficiency of the abnormal power consumption, and can improve the accuracy of checking the abnormal power consumption.
Fig. 3 is a schematic diagram of an electric power spot market settlement metering data verification apparatus provided by an embodiment of the present invention, the apparatus including:
the collection module 301 is used for collecting the electricity consumption of a user within a preset time;
the determining module 302 is configured to determine whether the power consumption of the user is abnormal, and specifically includes: judging whether a user has a special transformer or not; if yes, acquiring the capacity of the special transformer within the preset time, if the power consumption is larger than the capacity of the special transformer, the power consumption of the user is abnormal, if not, acquiring a historical power consumption database of the user, acquiring a predicted value range of the power consumption of the user according to the historical power consumption database, and if the power consumption is outside the predicted value range of the power consumption, the power consumption of the user is abnormal;
a sending request module 303, configured to send a power consumption verification request to the preset mobile terminal of the user if the power consumption of the user is abnormal, where the power consumption verification request includes power consumption time, power consumption, and power consumption price, and if the power consumption of the user is normal, then send a settlement data confirmation request to the preset mobile terminal of the user.
The technical features and technical effects of the electric power spot market settlement measurement data-based checking device provided by the embodiment of the invention are the same as those of the method provided by the embodiment of the invention, and are not repeated herein.
Furthermore, an embodiment of the present invention also proposes a storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the above-mentioned method.
In addition, an embodiment of the present invention further provides an electric power spot market settlement metering data verification apparatus, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the program.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following technologies, which are well known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It is noted that, in this document, relational terms such as "first" and "second," and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and substitutions can be made without departing from the technical principle of the present invention, and these modifications and substitutions should also be regarded as the protection scope of the present invention.

Claims (7)

1. A method for verifying electric power spot market settlement metering data is characterized by comprising the following steps:
collecting the power consumption of a user in a preset time;
judging whether the power consumption of the user is abnormal specifically comprises the following steps: judging whether a user has a special transformer or not; if yes, acquiring the capacity of the special transformer within the preset time, if the power consumption is larger than the capacity of the special transformer, the power consumption of the user is abnormal, if not, acquiring a historical power consumption database of the user, acquiring a predicted value range of the power consumption of the user according to the historical power consumption database, and if the power consumption is outside the predicted value range of the power consumption, the power consumption of the user is abnormal;
if the electricity consumption of the user is abnormal, sending an electricity consumption verification request to a mobile terminal preset by the user, wherein the electricity consumption verification request comprises electricity consumption time, electricity consumption and electricity consumption price, and if the electricity consumption of the user is normal, sending a settlement data confirmation request to the mobile terminal preset by the user;
the step of obtaining the predicted value range of the electric quantity of the user according to the historical electricity utilization database comprises the following steps:
acquiring the electricity consumption in a preset check period in the historical electricity consumption database as an electricity consumption standard, wherein the method comprises the following steps:
Q i =y(x n+1 )-y(x n )
y=B×x+A
wherein Q is i The electricity consumption is a reference; y is the accumulated electricity consumption of the user; x is a preset check period; a and B are constants, and the corresponding acquisition process comprises the following steps:
Figure FDA0003832925710000011
Figure FDA0003832925710000012
wherein,
Figure FDA0003832925710000013
calculating the average number of x and y based on the historical effective metering data, wherein n is the historical accumulated settlement metering frequency;
the upper limit of the predicted electric quantity value range is the product of the power consumption reference and a preset upper limit threshold value proportion;
and the lower limit of the electric quantity predicted value range is the product of the electricity consumption reference and a preset lower limit threshold ratio.
2. The power spot market settlement metering data checking method of claim 1, wherein the obtaining the capacity of the dedicated transformer for the preset time comprises:
Q=P max ×T
wherein, the P max And the rated active power of the special transformer is T, the preset time is T, and Q is the capacity of the special transformer.
3. The method of verifying electric power spot market settlement metering data of claim 1, wherein the preset verification period comprises one or more of hours, days, and months.
4. The method of checking electricity spot market settlement metering data of claim 1, further comprising receiving a power usage check result of the user and correcting the power usage of the user according to the power usage check result.
5. An electric power spot market settlement metering data verification device capable of performing the electric power spot market settlement metering data verification method according to any one of claims 1 to 4, comprising:
the acquisition module is used for acquiring the electricity consumption of a user within preset time;
the judging module is used for judging whether the electricity consumption of the user is abnormal or not, and specifically comprises the following steps: judging whether a user has a special transformer or not; if yes, acquiring the capacity of the special transformer within the preset time, if the power consumption is larger than the capacity of the special transformer, the power consumption of the user is abnormal, if not, acquiring a historical power consumption database of the user, acquiring a predicted value range of the power consumption of the user according to the historical power consumption database, and if the power consumption is outside the predicted value range of the power consumption, the power consumption of the user is abnormal;
and the sending request module is used for sending a power consumption verification request to the preset mobile terminal of the user if the power consumption of the user is abnormal, wherein the power consumption verification request comprises power consumption time, power consumption and power consumption price, and if the power consumption of the user is normal, a settlement data confirmation request is sent to the preset mobile terminal of the user.
6. A terminal device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any of claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of a method according to any one of claims 1 to 4.
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Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111553576B (en) * 2020-04-20 2022-06-07 国电南瑞科技股份有限公司 Data verification method, device and system suitable for electric power spot market
CN112561591A (en) * 2020-12-21 2021-03-26 国网电子商务有限公司 Intelligent settlement method and device for energy electronic bill
CN112465481B (en) * 2020-12-24 2024-09-06 深圳供电局有限公司 Method and system for detecting abnormal electricity consumption of user, computing equipment and storage medium
CN113157686A (en) * 2021-05-19 2021-07-23 云南电网有限责任公司 Data verification method for input data of electric power spot market
CN113590608A (en) * 2021-09-29 2021-11-02 国网江苏省电力有限公司营销服务中心 Data stream processing-based user electricity consumption information collecting and correcting method
CN115221472B (en) * 2022-07-21 2024-01-30 国网江苏省电力有限公司电力科学研究院 Self-adaptive setting method and device for user voltage limit value, memory and computing equipment
CN117290797B (en) * 2023-11-24 2024-02-02 国网山东省电力公司济宁供电公司 Building energy consumption prediction method, system, device and medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107220906A (en) * 2017-05-31 2017-09-29 国网上海市电力公司 Multiple Time Scales multiplexing electric abnormality analysis method based on electricity consumption acquisition system
CN107340492A (en) * 2017-05-31 2017-11-10 国网上海市电力公司 Electric power meter failure analysis methods with scene anticipation are excavated based on big data

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6493644B1 (en) * 1999-08-09 2002-12-10 Power Measurement Ltd. A-base revenue meter with power quality features
JP2011155710A (en) * 2010-01-25 2011-08-11 Sony Corp Power management apparatus, electronic apparatus, and method of managing power
CN105989446A (en) * 2015-03-02 2016-10-05 杭州腾仁科技有限公司 Data recognition method and system
CN106054108B (en) * 2016-05-27 2018-11-09 北京智芯微电子科技有限公司 A kind of multiplexing electric abnormality inspection method and device
CN108197156B (en) * 2017-12-08 2020-10-16 囯网河北省电力有限公司电力科学研究院 Abnormal electric quantity data restoration method of electricity consumption information acquisition system and terminal equipment
CN109726885A (en) * 2018-07-17 2019-05-07 平安科技(深圳)有限公司 Electricity consumption anomaly assessment method, apparatus, equipment and computer storage medium
CN109118386B (en) * 2018-08-29 2020-05-26 昆明电力交易中心有限责任公司 Power generation enterprise electric power marketization settlement verification system and method
CN109345786A (en) * 2018-09-13 2019-02-15 国网上海市电力公司 A kind of non-resident user power utilization abnormal conditions automatic alarm system of low pressure
CN109270316B (en) * 2018-09-28 2021-02-26 国网河北省电力有限公司沧州供电分公司 Power consumer power consumption abnormity identification method and device and terminal equipment
CN109031184B (en) * 2018-10-31 2020-12-08 国网河北省电力有限公司电力科学研究院 Monitoring method and system of electric energy metering device and terminal equipment

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107220906A (en) * 2017-05-31 2017-09-29 国网上海市电力公司 Multiple Time Scales multiplexing electric abnormality analysis method based on electricity consumption acquisition system
CN107340492A (en) * 2017-05-31 2017-11-10 国网上海市电力公司 Electric power meter failure analysis methods with scene anticipation are excavated based on big data

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