CN110598901A - Electric energy meter application and calibration management system - Google Patents
Electric energy meter application and calibration management system Download PDFInfo
- Publication number
- CN110598901A CN110598901A CN201910704892.6A CN201910704892A CN110598901A CN 110598901 A CN110598901 A CN 110598901A CN 201910704892 A CN201910704892 A CN 201910704892A CN 110598901 A CN110598901 A CN 110598901A
- Authority
- CN
- China
- Prior art keywords
- energy meter
- electric energy
- correction
- information
- checking
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012937 correction Methods 0.000 claims abstract description 87
- 238000012544 monitoring process Methods 0.000 claims abstract description 5
- 238000012795 verification Methods 0.000 claims description 21
- 238000005265 energy consumption Methods 0.000 claims description 2
- 238000000034 method Methods 0.000 description 9
- 230000005611 electricity Effects 0.000 description 5
- 230000008569 process Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 3
- 230000000737 periodic effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 125000004122 cyclic group Chemical group 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- YHXISWVBGDMDLQ-UHFFFAOYSA-N moclobemide Chemical compound C1=CC(Cl)=CC=C1C(=O)NCCN1CCOCC1 YHXISWVBGDMDLQ-UHFFFAOYSA-N 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Data Mining & Analysis (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Health & Medical Sciences (AREA)
- Operations Research (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Physics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Quality & Reliability (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Software Systems (AREA)
- Pure & Applied Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Biophysics (AREA)
- Molecular Biology (AREA)
- Evolutionary Computation (AREA)
- Development Economics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computational Linguistics (AREA)
- Evolutionary Biology (AREA)
- Computing Systems (AREA)
- Biomedical Technology (AREA)
- Probability & Statistics with Applications (AREA)
- Game Theory and Decision Science (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
Abstract
The invention relates to an electric energy meter application and calibration management system, which comprises: the application receiving module is used for receiving user correction information provided by a marketing end; the checking and monitoring module is used for establishing or updating the user application file according to the user information and establishing a checking and applying work order; the application matching module is used for recording the working information of the checking workers in real time and matching the checking applying work order with the checking workers according to the working information and the user checking applying information of the electric energy meter; the result auditing module is used for judging whether the checking result of the electric energy meter to be checked is qualified or not and returning the judging result to the marketing end; and the correction prediction module is used for predicting the correction prediction data of the future electric energy meter. Compared with the prior art, the invention has the advantages of and the like.
Description
Technical Field
The invention relates to the field of electric energy meter correction service, in particular to an electric energy meter correction management system.
Background
The intelligent electric meter comprises a measuring unit, a data processing unit and a communication unit, has the functions of electric energy metering, electric energy data information processing, real-time monitoring, automatic control, information interaction and the like, and is a main electric energy metering electric meter device for users at present. With the rapid development of smart grids, the rapid progress of intelligent technology and the proposal of the goal of building smart grids in our country in recent years, customer service begins to become the research focus of national grids, and power customers are the service subject of grid enterprises, and the demand of customers on smart meters is greatly increased due to the dependence on electric energy. The development of intelligent technology and the increasing demand of electricity make the power service concept of power customers gradually change, especially in the aspect of electricity consumption metering.
In recent years, the right-maintaining consciousness and the law consciousness of users are continuously improved, more and more electricity utilization customers propose objections to the accuracy of the electric energy meter which is used for measuring tasks and relates to the benefits of both power supply and power utilization parties, meanwhile, due to the conversion from a traditional electric energy meter to an intelligent electric energy meter, the electricity utilization data is obviously higher than that of the traditional electric energy meter due to a more accurate measuring mode, the improvement of the measuring electric quantity enables the users to suspect and dissatisfy the electric energy meter, and the customer satisfaction degree is seriously influenced. On the other hand, the popularization and the updating of the intelligent electric meters are more than years, and part of the electric meters are close to the end of the service life, so that faults are easy to occur, the electricity utilization experience of users is influenced, and the number of applications and schools in the future is increased. At present, the applied and calibrated quantity of the electric energy meter of a state network company rises sharply, the applied and calibrated quantity of each region and different time periods of a city changes greatly, the input force of the electric energy meter service is difficult to adjust in time, meanwhile, the current metering applied and calibrated management system lacks of customer service means, the efficiency of applying and calibrating is low, and along with the development of a big data era and the improvement of high-quality metering service, the electric energy meter service urgently needs a set of complete system to optimize the process.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide an electric energy meter application and calibration management system.
The purpose of the invention can be realized by the following technical scheme:
an electric energy meter application and management system, comprising:
the application receiving module is used for receiving user correction information of the electric energy meter provided by the marketing end, wherein the information comprises user portrait information and performance expression of the electric energy meter to be checked;
the verification monitoring module is used for establishing or updating the user application file according to the user information and establishing a correction work order, and the correction work order is used for recording correction information and correction progress in real time;
the application matching module is used for recording the working information of the checking workers in real time, and matching the checking work order and the checking workers according to the checking difficulty and the responsible area based on the working information and the checking information;
the result auditing module is used for judging whether the checking result of the electric energy meter to be checked is qualified or not and returning the judging result to the marketing end;
and the correction prediction module is used for predicting future electric energy meter correction prediction data and adjusting the areas in charge of the verification workers according to the prediction data, wherein the future electric energy meter correction prediction data comprises future correction amount of each divided area in a place, future electric energy meter correction amount of the place every month and future electric energy consumption of the place.
Further, the user representation information includes user identity information and historical correction information.
Furthermore, the checking workers are graded according to the working age and the working scores, and the working information of the checking workers comprises the grades of the checking workers, the responsible areas and the real-time work task amount.
Further, the applying and correcting information recorded by the applying and correcting work order comprises an applying and correcting order number, a verification mode and a verification result.
And further, calling a proof work order according to the proof work order number.
Further, the verification mode comprises an outdoor mode and a laboratory mode, the verification mode is selected according to the performance of the electric energy meter to be verified, if the performance of the electric energy meter to be verified belongs to common performance, a verification result is directly obtained outdoors, and otherwise, the electric energy meter is disassembled and brought back to the laboratory for verification.
Further, the calibration prediction module predicts future electric energy meter calibration prediction data based on historical electric energy meter calibration history data through a prediction algorithm, wherein the historical electric energy meter calibration history data comprises historical annual electric energy meter calibration amount, local monthly historical electric energy meter calibration amount, local historical meteorological data and local historical power consumption amount of each divided region in a place.
Further, the future annual energy meter correction amount of each divided area in the local area and the local monthly future energy meter correction amount are respectively calculated based on the historical annual energy meter correction amount of each divided area in the local area and the local monthly historical energy meter correction amount, and the local future power consumption is calculated according to the local historical meteorological data and the local historical power consumption.
Further, a time series trend decomposition method is adopted in a prediction algorithm for obtaining the future annual energy meter correction amount of each divided region in the place and the monthly future energy meter correction amount of the place, and the method specifically comprises the following steps:
decomposing a time sequence consisting of the correction amount and time into a trend component, a periodic component and a random component, predicting the trend component through an ARIMA model, predicting the periodic component according to the principle of big-small distance by adopting a weighting method based on historical contemporaneous congeneric component, predicting the random component by adopting an average value of the historical contemporaneous congeneric component, and finally reducing the prediction results of the trend component, the periodic component and the random component into the prediction correction amount by adopting a multiplication model.
The local future power consumption is obtained according to local historical meteorological data and local historical power consumption, and specifically comprises the following steps:
and calculating local historical meteorological data by using a time sequence convolution network, predicting local future meteorological data, and predicting local future power consumption by using a cyclic neural network based on the local future meteorological data and the local historical power consumption.
And performing task allocation of the verification workers according to the predicted future electric energy meter application and correction prediction data, wherein the task allocation comprises the area responsible for each verification worker.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention establishes an electric energy meter correction management system, according to user information and electric energy meter performance of the electric energy meter, a checking worker carries out grade division and area distribution on the working capacity, an application matching module is utilized, and the checking worker is matched with a correction applying work order according to the correction applying difficulty and the responsible area, so that the manpower resource is fully and reasonably utilized;
(2) the invention records the correction application progress in real time through the correction application work order, is convenient to query, improves the correction application efficiency, establishes and supplements a file according to the portrait information of the user, and improves the efficiency and the rigidness of the correction application by the user as the file for the later correction application;
(3) according to the invention, through the correction forecasting module, various future electric energy meter correction forecasting data are forecasted based on the local electric energy meter correction history data, various forecasting data are integrated, the manpower distribution to the checking workers is accurately and timely made, the correction service efficiency is improved, and the effective resource distribution is realized.
Drawings
FIG. 1 is a flowchart of a power meter application and management process;
FIG. 2 is a flowchart of applying a prediction.
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation manner and a specific operation process are given, but the scope of the present invention is not limited to the following embodiments.
An electric energy meter correction management system comprises an application receiving module, a checking supervision module, an application matching module, a result auditing module and a correction predicting module, wherein the application receiving module is used for receiving user correction information of an application user provided by an marketing terminal, the information comprises user portrait information and performance expression of an electric energy meter to be checked, and the user portrait information comprises user identity information and historical correction information; the checking and monitoring module is used for establishing or updating the user application file according to the user information and establishing a correction work order, and the correction work order is used for recording correction information and correction progress in real time; the application matching module is used for recording the working information of the checking workers in real time, and matching the checking work order and the checking workers according to the checking difficulty and the responsible area based on the working information and the checking information; the result auditing module is used for judging whether the checking result of the electric energy meter to be checked is qualified or not, returning the judging result to the marketing end, receiving the judging result by the marketing end, if the electric energy meter is qualified, not returning the user commission charge, and if not, returning the commission charge to the correction user; the correction prediction module is used for predicting future electric energy meter correction prediction data and adjusting the areas in charge of the verification workers according to the prediction data, and the future electric energy meter correction prediction data comprises future correction amount of each divided area in a place, future electric energy meter correction amount of the place every month and future electric power consumption of the place.
As shown in fig. 1, the electric energy meter application and calibration management system receives user application and calibration information from an application and sales terminal, matches an application and calibration work order and calibration workers according to application and calibration difficulty and a responsible area, and determines a calibration mode, wherein the calibration mode comprises an outdoor mode and a laboratory mode, the calibration mode is selected according to the performance of the electric energy meter to be tested, if the performance of the electric energy meter to be tested belongs to common performance, the calibration result is directly obtained on site, and if not, the electric energy meter is disassembled and taken back to the laboratory for calibration; and returning the inspection result to the marketing end, judging whether the electric energy meter for applying the school is qualified or not according to the inspection result, not returning the electric energy meter for applying the school to the user by the marketing end, and returning the application fee of the user if the electric energy meter for applying the school is not qualified.
And grading the checking workers according to the working age and the working scores, wherein the working information of the checking workers comprises the grades of the checking workers, the responsible areas and the real-time work task amount.
And the applying and correcting information recorded by the applying and correcting work order comprises an applying and correcting order number, a verification mode and a verification result. And calling a proof declaration work order according to the proof declaration number.
The application receiving module receives user correction information provided by the marketing end and establishes a correction work order, the correction work order records correction user information and a correction process in real time, and the application matching module matches the correction work order with a checking worker according to the correction user information and the working information of the checking worker.
As shown in fig. 2, the calibration prediction module predicts the future electric energy meter calibration prediction data based on historical electric energy meter calibration history data through a prediction algorithm, wherein the historical electric energy meter calibration history data includes historical annual electric energy meter calibration amount, local monthly historical electric energy meter calibration amount, local historical meteorological data and local historical power consumption amount of each divided region in a local area.
The method comprises the steps that the correction amount of the future annual electric energy meter in each divided area in a place and the correction amount of the local monthly future electric energy meter are respectively calculated based on the correction amount of the historical annual electric energy meter in each divided area in the place and the correction amount of the local monthly historical electric energy meter, and the local future electric consumption is calculated according to local historical meteorological data and local historical electric consumption.
And performing task allocation of the verification workers according to the predicted future electric energy meter application and correction prediction data, including the area responsible for each verification worker.
In the embodiment, the electric energy meter correction management system realizes optimization of the electric energy meter correction management process, fully and reasonably utilizes human resources, and improves the efficiency and accuracy of correction.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (8)
1. An electric energy meter application and management system, comprising:
the application receiving module is used for receiving user correction information provided by a marketing end, and the information comprises user portrait information and electric energy meter performance to be checked;
the verification monitoring module is used for establishing or updating the user application file according to the user information and establishing a correction work order, and the correction work order is used for recording correction information and correction progress in real time;
the application matching module is used for recording the working information of the checking workers in real time, and matching the checking work order and the checking workers according to the checking difficulty and the responsible area based on the working information and the checking information;
the result auditing module is used for judging whether the checking result of the electric energy meter to be checked is qualified or not and returning the judging result to the marketing end;
and the correction prediction module is used for predicting future electric energy meter correction prediction data and adjusting the areas in charge of the verification workers according to the prediction data, wherein the future electric energy meter correction prediction data comprises future correction amount of each divided area in a place, future electric energy meter correction amount of the place every month and future electric energy consumption of the place.
2. The system of claim 1, wherein the user profile information comprises user identity information and historical proofing information.
3. The electric energy meter application and management system as claimed in claim 1, wherein the calibration workers are classified according to age and work performance, and the work information of the calibration workers comprises the grade of the calibration workers, the responsible area and the real-time work task amount.
4. The electric energy meter correction management system according to claim 1, wherein the correction information recorded by the correction work order comprises a correction order number, a verification mode and a verification result.
5. The electric energy meter correction management system according to claim 4, wherein the correction form number is used for calling a correction work form.
6. The electric energy meter auditing and management system according to claim 4, where the verification modes include outdoor and laboratory, and the verification mode is selected according to the electric energy meter performance to be verified.
7. The system as claimed in claim 1, wherein the calibration prediction module predicts future electric energy meter calibration prediction data based on historical electric energy meter calibration history data through a prediction algorithm, wherein the historical electric energy meter calibration history data includes historical annual electric energy meter calibration amount, local monthly historical electric energy meter calibration amount, local historical meteorological data and local historical power consumption amount of each division area in a place.
8. The system as claimed in claim 7, wherein the future annual energy meter correction amount and the monthly future energy meter correction amount of each divided area in the local area are obtained based on the historical annual energy meter correction amount and the monthly historical monthly energy meter correction amount of each divided area in the local area, respectively, and the future local power consumption is obtained according to the historical local meteorological data and the historical local power consumption.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910704892.6A CN110598901B (en) | 2019-07-31 | 2019-07-31 | Electric energy meter correction management system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910704892.6A CN110598901B (en) | 2019-07-31 | 2019-07-31 | Electric energy meter correction management system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110598901A true CN110598901A (en) | 2019-12-20 |
| CN110598901B CN110598901B (en) | 2024-02-23 |
Family
ID=68853197
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910704892.6A Active CN110598901B (en) | 2019-07-31 | 2019-07-31 | Electric energy meter correction management system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110598901B (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060035189A (en) * | 2004-10-21 | 2006-04-26 | 엘에스산전 주식회사 | Electronic energy meter with verification of integrated energy for tariffs |
| CN101364291A (en) * | 2008-07-17 | 2009-02-11 | 中冶长天国际工程有限责任公司 | Method of calibrating data accuracy, device and labour hour data verification system |
| US20090222828A1 (en) * | 2008-02-28 | 2009-09-03 | Alcatel-Lucent Via The Electronic Patent Assignment System (Epas) | Management platform and associated method for managing smart meters |
| CN106355298A (en) * | 2016-10-13 | 2017-01-25 | 哈尔滨电工仪表研究所 | Intelligent watt-hour meter reliability prediction cloud service platform |
| CN106908753A (en) * | 2017-03-28 | 2017-06-30 | 云南电网有限责任公司大理供电局 | A kind of Watt-hour meter's field test device and safe data cloud storage system based on the Internet transmission data |
| CN107422293A (en) * | 2017-04-27 | 2017-12-01 | 国网上海市电力公司 | A kind of electric energy meter field intellectuality verification system and method |
| CN108229747A (en) * | 2018-01-12 | 2018-06-29 | 中国计量科学研究院 | Adjustment controlling means, device and time signal generation system |
-
2019
- 2019-07-31 CN CN201910704892.6A patent/CN110598901B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20060035189A (en) * | 2004-10-21 | 2006-04-26 | 엘에스산전 주식회사 | Electronic energy meter with verification of integrated energy for tariffs |
| US20090222828A1 (en) * | 2008-02-28 | 2009-09-03 | Alcatel-Lucent Via The Electronic Patent Assignment System (Epas) | Management platform and associated method for managing smart meters |
| CN101364291A (en) * | 2008-07-17 | 2009-02-11 | 中冶长天国际工程有限责任公司 | Method of calibrating data accuracy, device and labour hour data verification system |
| CN106355298A (en) * | 2016-10-13 | 2017-01-25 | 哈尔滨电工仪表研究所 | Intelligent watt-hour meter reliability prediction cloud service platform |
| CN106908753A (en) * | 2017-03-28 | 2017-06-30 | 云南电网有限责任公司大理供电局 | A kind of Watt-hour meter's field test device and safe data cloud storage system based on the Internet transmission data |
| CN107422293A (en) * | 2017-04-27 | 2017-12-01 | 国网上海市电力公司 | A kind of electric energy meter field intellectuality verification system and method |
| CN108229747A (en) * | 2018-01-12 | 2018-06-29 | 中国计量科学研究院 | Adjustment controlling means, device and time signal generation system |
Non-Patent Citations (9)
| Title |
|---|
| 方绍怀: "提高用户班的电能表月校验量", 《科技经济市场》 * |
| 方绍怀: "提高用户班的电能表月校验量", 《科技经济市场》, no. 10, 15 October 2011 (2011-10-15) * |
| 王华文等: "PDA在电能表现场校验管理系统中的应用", 《中国计量》 * |
| 王华文等: "PDA在电能表现场校验管理系统中的应用", 《中国计量》, no. 09, 10 September 2010 (2010-09-10) * |
| 盛立峰等: "基于PDA和GPRS技术的电能表智能校验管理系统", 《华东电力》 * |
| 盛立峰等: "基于PDA和GPRS技术的电能表智能校验管理系统", 《华东电力》, no. 01, 24 January 2006 (2006-01-24), pages 24 - 25 * |
| 邹玲等: ""智能电能表校表和误差分析"", 《湖北工业大学学报》 * |
| 陈惠玉: "浅谈如何做好客户临时申验电能表的实验室检验工作", 《科技创新与应用》 * |
| 陈惠玉: "浅谈如何做好客户临时申验电能表的实验室检验工作", 《科技创新与应用》, no. 33, 28 November 2013 (2013-11-28) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110598901B (en) | 2024-02-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Berrueta et al. | Combined dynamic programming and region-elimination technique algorithm for optimal sizing and management of lithium-ion batteries for photovoltaic plants | |
| CN102855525B (en) | A kind of resident's load prediction analytic system and method | |
| Vonsien et al. | Li-ion battery storage in private households with PV systems: Analyzing the economic impacts of battery aging and pooling | |
| CN109193748B (en) | Evaluation method and computing device for photovoltaic absorption capacity | |
| CN113496311A (en) | Photovoltaic power station generated power prediction method and system | |
| CN110097220A (en) | A kind of monthly power predicating method of wind-power electricity generation | |
| CN109978242A (en) | The photovoltaic power generation cluster power forecasting method and device of scale are risen based on statistics | |
| CN112862172B (en) | National network 95598 power outage complaint prediction method, device, computer equipment and storage medium | |
| CN105656026A (en) | Equipment construction resource configuration method and system of renewable energy sources | |
| CN114757467A (en) | Provincial region double-carbon comprehensive analysis and evaluation system | |
| CN111738854A (en) | New energy spot transaction decision-making data service system based on cloud computing | |
| CN115860978A (en) | Multi-user sharing electric charge metering method based on generated energy of distributed photovoltaic power station | |
| Zhang et al. | Cycle-life-aware optimal sizing of grid-side battery energy storage | |
| KR20210058372A (en) | Apparatus and method for evaluating economics of electric power distribution system according to sunlight power station | |
| CN110687494A (en) | Method and system for monitoring faults of remote gateway electric energy meter | |
| CN113222245A (en) | Method and system for checking monthly electric quantity and electricity charge abnormity of residential user and storage medium | |
| Wu et al. | Design of A battery energy management system for capacity charge reduction | |
| CN117010946A (en) | Thermal power plant production and operation cost accounting system and application method thereof | |
| CN110598901A (en) | Electric energy meter application and calibration management system | |
| CN116384622A (en) | Carbon emission monitoring method and device based on electric power big data | |
| CN115689620A (en) | Physical model and data-driven coal price and electricity price conduction model construction method | |
| CN114462676A (en) | User side energy storage optimization method and system | |
| Han et al. | Requirements analysis and application research of big data in power network dispatching and planning | |
| Razak et al. | Forecasting cost saving through solar system installation | |
| CN117236532B (en) | Load data-based electricity consumption peak load prediction method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |