CN111177651A - Time-sharing missing code fitting method for electric meter of metering automation system - Google Patents
Time-sharing missing code fitting method for electric meter of metering automation system Download PDFInfo
- Publication number
- CN111177651A CN111177651A CN201911218156.6A CN201911218156A CN111177651A CN 111177651 A CN111177651 A CN 111177651A CN 201911218156 A CN201911218156 A CN 201911218156A CN 111177651 A CN111177651 A CN 111177651A
- Authority
- CN
- China
- Prior art keywords
- missing
- data
- fitting
- time period
- holiday
- 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.)
- Pending
Links
Images
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
- G06F17/17—Function evaluation by approximation methods, e.g. inter- or extrapolation, smoothing, least mean square method
-
- 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
- G01R22/061—Details of electronic electricity meters
- G01R22/068—Arrangements for indicating or signaling faults
Abstract
The invention provides a time-sharing missing code fitting method for an electric meter of a metering automation system, which comprises the following steps of: s1, taking an interval electric quantity arithmetic mean value of time points before and after an interval of the missing time period as an electric quantity fitting value when the duration of the missing time period is less than a first preset duration; and S2, approximately fitting the electric quantity/meter data of the electricity meter on the same ratio and same attribute date when the duration of the missing time period is longer than the first preset duration. According to the method and the device, different processing is carried out according to the length of the missing time period, the missing data are respectively processed according to the time attribute aiming at the condition that the missing time period is long, the power utilization habits of users are met, the missing data in various time periods can be processed more finely, and the deviation between the fitting result and the real result is reduced as much as possible.
Description
Technical Field
The invention belongs to the technical field of electric energy data processing of an electric power system, and particularly relates to a time-sharing missing meter code fitting method for an electric meter of a metering automation system.
Background
The problem of missing electric energy data can be formally regarded as the problem of automatic interpolation of missing data values. For the problem of electric energy data loss, due to the difference of environments of measuring points, data distribution of the measuring points may be completely different, and a result obtained by applying the same set of parameters may have a very large difference from a real value. Therefore, the research of a processing method for automatically performing automatic interpolation according to data distribution becomes a problem to be solved for online processing of electric energy data.
For example, chinese patent discloses a method for automatically processing a missing value of electric energy [ application No.: cn201510759560.x ], which takes into account that the user's power usage behavior over a period of time is always similar, such as during summer, the use of refrigeration equipment, etc. Meanwhile, considering the time gap effect of the electricity utilization rule, the data farther away from the missing value has smaller influence on the predicted point logically. However, the above-mentioned solution has a single processing method for the missing data, and cannot perform different processing methods for the missing data in different situations, so that the final processing result still has a large deviation.
Disclosure of Invention
The invention aims to solve the problems and provides a time-sharing missing code fitting method for an electric meter of a metering automation system.
In order to achieve the purpose, the invention adopts the following technical scheme:
a fitting method for time-sharing missing codes of an electric meter of a metering automation system executes the following steps when data collected by the electric meter is missing:
s1, taking an interval electric quantity arithmetic mean value of time points before and after an interval of the missing time period as an electric quantity fitting value when the duration of the missing time period is less than a first preset duration;
and S2, approximately fitting the electric quantity/meter data of the electricity meter on the same ratio and same attribute date when the duration of the missing time period is longer than the first preset duration.
In the above method for fitting time-sharing missing codes of metering automation system electric meters, in step S2, the year-to-year ratio is any one or combination of a week-to-year ratio, a month-to-month ratio and a year-to-year ratio.
In the above method for fitting the time-sharing missing codes of the electric meter of the metering automation system, the attributes include three time attributes of working day, double holiday and legal holiday.
In the above-described time-sharing missing code fitting method for an electric meter of a metering automation system, in step S2, if the missing time period is within the working day, the fitting process is performed according to the average value of the data of the working day of the previous month.
In the above-described time-sharing missing code fitting method for an electric meter of a metering automation system, in step S2, if the missing time period is within the holiday, fitting processing is performed according to the average value of the data of the holiday interval of the previous month.
In the above-described time-sharing missing code fitting method for an electric meter of a metering automation system, in step S2, if the missing time period is within the legal holiday, fitting processing is performed on the basis of the latest holiday interval data of the same type.
In the method for fitting the time-sharing missing codes of the electric meter of the metering automation system, the legal festival holidays comprise small and long holidays and large and long holidays, the small and long holidays comprise the New year, the fifth year and the Qingming festival, and the large and long holidays comprise the spring festival and the national celebration; and the data with small and long false missing data refers to the data mean value fitting processing of the last three holidays, the data with large and long false data refers to the data mean value fitting processing of the last year of the same holiday, and the data without historical analog data refers to the data fitting processing of the last holiday.
In the time-sharing missing code fitting method for the electric meter of the metering automation system, if the missing time period spans across workdays/double-holidays and legal holidays, the missing time period is divided according to the workdays/double-holidays and the legal holidays, and then the divided missing time periods are respectively fitted.
In the method for fitting the time-sharing missing codes of the electric meter of the metering automation system, aiming at the situation that whether the actual site of a user is normal in power utilization or not cannot be timely known due to typhoon, user automatic stop and the like, fitting is carried out on working days, double-holidays and holidays as usual.
In the above method for fitting time-sharing missing codes of an electric meter of a metering automation system, the method further includes a secondary table, and when the data collected by the primary table is missing, the following steps are firstly executed:
and checking whether the auxiliary meter successfully collects the electric quantity data in the corresponding missing time period, if so, performing approximate fitting on the electric quantity data in the missing time period through the auxiliary meter collected data, and otherwise, executing the step S1.
The invention has the advantages that: because the power consumption of a home or an office building is different in working days, rest days and legal holidays, the scheme respectively processes missing data in different time attributes according to three time attributes of the working days, the double holidays and the legal holidays all the year round, so that the power consumption habit of a user is met, the missing data in various time periods can be more finely processed, and the deviation between a fitting result and a real result is reduced as much as possible.
Drawings
FIG. 1 is a flow chart of a method of time-sharing missing code fitting for an electric meter of a metering automation system according to the present invention;
FIG. 2 is a flow chart of a method for processing missing data under various time attributes.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Example one
For users and units participating in the market, 12 days after T + 2: at 00 hours, the metering system still cannot acquire the electric meter data of the metering system, and the electric quantity fitting data obtained by the electric meter time-sharing missing meter code fitting method of the metering automation system is used for marketable settlement. The fitting rule comprises a rule for dividing the time attributes, and the time attributes are temporarily divided into three types: working days, double holidays, national statutory holidays (the holidays are divided into two types of minor holidays (New year, five first, Qingming and the like) and major holidays (spring festival, national celebration); the time period in each day is defined as (0:00-23:00), i.e. the data of 24:00 points in a certain month No. 1 is defined as the data of the month No. 2.
Specifically, as shown in fig. 1, in the method for fitting a timesharing missing meter code of an electric meter of the metering automation system according to the embodiment, when there is a missing of the data collected by the electric meter, the following steps are performed:
s1, when the duration of the missing time period is less than a first preset duration, taking an arithmetic mean value of interval electric quantity of time points before and after the missing interval as an electric quantity fitting value, for example, the missing time period is 11-12 am, then taking 5 hours before 11 am and 5 hours after 12 am, namely the total electric quantity of 6 am-5 pm, and then dividing the total electric quantity by 10 to obtain the electric quantity of 11-12 pm; the missing period refers to a period in which continuous data is missing. The preset time period is generally two hours. And for the condition of short-time data missing, directly fitting according to the electricity utilization condition of a period of time before and after the missing time period.
And S2, approximately fitting the electric quantity/meter data of the electricity meter on the same ratio and same attribute date when the duration of the missing time period is longer than the first preset duration. The year-on-year ratio is any one or more of the group of week-on-year ratios, month-on-year ratios and the preferred year-on-year ratio of the present embodiment is month-on-year ratios, as shown in fig. 2:
and if the missing time period is in the working day, fitting according to the average value of the working day data of the previous month. Such as a default number of 1:00-2:00 on day 22 of month 5 (tuesday), fitting with an average number of 1:00-2:00 per workday for month 4, or fitting with an average number of 1:00-2:00 per workday for day 22 of month 4-21 of month 5.
And if the missing time period is in the double holidays, fitting according to the average value of the double holiday interval data of the previous month. Such as: if the number of the data lack is 2:00-3:00 in 9/6/9 (saturday) in 2018, fitting is carried out by using the average value of the data of 2:00-3:00 in each saturday and day in 5/6/8/2: 00-3:00 in 2018;
and if the missing time period is within the legal holiday, fitting and processing the data according to the latest holiday interval data of the same type. As described above, the holidays are divided into a small holiday and a large holiday, if the missing time period is within the legal holiday of the small holiday type, the data refers to the data mean fitting process of the last three holidays, and if the missing time period is within the legal holiday of the large holiday type, the data mean fitting process of the last year of the same holiday can be taken, such as: and if the number of the defects is 2:00-3:00 in 2 days of national celebration in 10 months in 2018, fitting the average value data of 7 days of national celebration in 10 months in 2017 by using 2:00-3: 00. Such as: and if the number of the defect is 2:00-3:00 in 17 days (morning) in 6 and 8 months in 2018, the average value of the data of the Yuan Dan, the Qingming and the Wuyi holiday in 2018 is taken for data fitting treatment, wherein the average value is 2:00-3: 00.
In addition, if no historical analog data is referred to the previous holiday data fitting process.
According to the embodiment, for the condition of data missing for a long time, according to the attribute date of the missing time period, the data are respectively processed according to the attribute date of the same proportion, the power utilization habits of users are met, and the final processing accuracy is improved.
Further, if the missing time period spans across workdays/double-holidays and legal holidays, the missing time period is divided according to the workdays/double-holidays and the legal holidays, and then the divided missing time periods are respectively subjected to fitting processing.
Similarly, for typhoon, user stop and the like, whether the actual site of the user is normal power utilization or not cannot be known in time, and fitting is performed on working days, double holidays and holidays as usual.
Example two
The present embodiment is similar to the embodiment, except that the present embodiment uses the electric meter in the first embodiment as the main meter, and has a secondary meter in addition to the main meter to be supplemented by the collected data of the secondary meter in case of data loss of the main meter. Specifically, when the main table collected data is missing, the following steps are firstly executed:
and checking whether the auxiliary meter successfully collects the electric quantity data in the corresponding missing time period, if so, performing approximate fitting on the electric quantity data in the missing time period through the auxiliary meter collected data, and otherwise, executing the step S1 in the first embodiment. In the embodiment, the acquired data of the auxiliary table is used as the standby data, when the auxiliary table works normally, the data of the auxiliary table is directly used, and when the auxiliary table and the main table simultaneously fail, data fitting is performed by the method in the first embodiment.
The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications or additions may be made or substituted in a similar manner to the specific embodiments described herein by those skilled in the art without departing from the spirit or exceeding the scope of the invention as defined in the appended claims, the invention being expressed as directly or indirectly connected.
Although the terms of the first preset duration, the missing period, the time attribute, the primary table, the secondary table, etc. are used more herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed as being without limitation to any additional limitations that may be imposed by the spirit of the present invention.
Claims (10)
1. The time-sharing missing code fitting method for the electric meter of the metering automation system is characterized in that when the acquired data of the electric meter is missing, the following steps are executed:
s1, taking an interval electric quantity arithmetic mean value of time points before and after an interval of the missing time period as an electric quantity fitting value when the duration of the missing time period is less than a first preset duration;
and S2, approximately fitting the electric quantity/meter data of the electricity meter on the same ratio and same attribute date when the duration of the missing time period is longer than the first preset duration.
2. The method for time-sharing missing code fitting of electric meters of an automatic metering system according to claim 1, wherein in step S2, the year-on-year ratio is any one or more of the combination of the week-on-year ratio, the month-on-year ratio and the year-on-year ratio.
3. The method of claim 2, wherein the attributes comprise three time attributes including workday, double holiday, and legal holiday.
4. The method of claim 3, wherein in step S2, if the missing time period is in a working day, the average value of the previous month and working day data is fitted.
5. The method of claim 3, wherein in step S2, if the missing time period is in the holiday, the fitting process is performed according to the average value of the data of the last month holiday interval.
6. The time-sharing missing code fitting method for metering an automatic system electric meter according to claim 3, wherein in step S2, if the missing time period is within the legal holiday, the fitting process is performed according to the latest holiday interval data of the same type.
7. The method for fitting timesharing missing codes for electric meters of an automatic metering system according to claim 4, wherein legal holidays comprise two types, namely minor holidays and major holidays, wherein the minor holidays comprise New year, fifth year and Qingming, and the major holidays comprise spring festival and national day; and the data with small and long false missing data refers to the data mean value fitting processing of the last three holidays, the data with large and long false data refers to the data mean value fitting processing of the last year of the same holiday, and the data without historical analog data refers to the data fitting processing of the last holiday.
8. The method of claim 7, wherein if the missing time period spans workday/double holiday and legal holiday, the missing time period is divided according to workday/double holiday and legal holiday, and then the divided missing time periods are fitted respectively.
9. The time-sharing missing code fitting method for the electric meter of the metering automation system according to claim 8, characterized in that fitting is performed as usual on a working day, a double-holiday, a holiday, and the like, aiming at the situations that whether the actual site of the user is normally powered on due to typhoon, user self-stop, and the like, which cannot be timely known.
10. The method for time-sharing missing code fitting of an electric meter of an automatic metering system according to any of claims 1 to 9, characterized in that it further comprises a secondary table, and when there is a missing of the collected data of the primary table, the following steps are first performed:
and checking whether the auxiliary meter successfully collects the electric quantity data in the corresponding missing time period, if so, performing approximate fitting on the electric quantity data in the missing time period through the auxiliary meter collected data, and otherwise, executing the step S1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911218156.6A CN111177651A (en) | 2019-12-03 | 2019-12-03 | Time-sharing missing code fitting method for electric meter of metering automation system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911218156.6A CN111177651A (en) | 2019-12-03 | 2019-12-03 | Time-sharing missing code fitting method for electric meter of metering automation system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111177651A true CN111177651A (en) | 2020-05-19 |
Family
ID=70650095
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911218156.6A Pending CN111177651A (en) | 2019-12-03 | 2019-12-03 | Time-sharing missing code fitting method for electric meter of metering automation system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111177651A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113568937A (en) * | 2021-08-03 | 2021-10-29 | 贵州电网有限责任公司 | Electric quantity fitting method based on VEE process |
| CN113780630A (en) * | 2021-08-17 | 2021-12-10 | 云南电网有限责任公司 | Method for realizing form code prediction based on historical electricity consumption data of electricity consumption customer |
| CN115545348A (en) * | 2022-11-23 | 2022-12-30 | 国网江苏省电力有限公司营销服务中心 | Electric quantity obtaining and fitting method suitable for complex metering and collecting conditions |
| CN115809237A (en) * | 2023-02-07 | 2023-03-17 | 河北建投水务投资有限公司 | Method and system for supplementing missing data of user water meter |
| CN116415123A (en) * | 2023-03-07 | 2023-07-11 | 清华大学 | Method and system for analyzing total water flow data of community |
| CN116683452A (en) * | 2023-08-03 | 2023-09-01 | 国网山东省电力公司营销服务中心(计量中心) | Method and system for repairing solar heat lost electric quantity |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117810A (en) * | 2015-09-24 | 2015-12-02 | 国网福建省电力有限公司泉州供电公司 | Residential electricity consumption mid-term load prediction method under multistep electricity price mechanism |
| CN108197156A (en) * | 2017-12-08 | 2018-06-22 | 囯网河北省电力有限公司电力科学研究院 | The abnormal electricity data restorative procedure and terminal device of power information acquisition system |
| CN108362958A (en) * | 2017-12-22 | 2018-08-03 | 国网冀北电力有限公司 | A kind of acquisition fault point diagnosis and method for repairing and mending automatically |
| CN108492134A (en) * | 2018-03-07 | 2018-09-04 | 国网四川省电力公司 | The big data user power utilization behavior analysis system integrated based on multicycle regression tree |
| CN109307811A (en) * | 2018-08-06 | 2019-02-05 | 国网浙江省电力有限公司宁波供电公司 | A kind of user's dedicated transformer electricity consumption monitoring method excavated based on big data |
| CN109445972A (en) * | 2018-09-21 | 2019-03-08 | 深圳供电局有限公司 | Data recovery method, device, equipment and storage medium |
| CN109634940A (en) * | 2018-11-12 | 2019-04-16 | 国网天津市电力公司电力科学研究院 | A kind of typical low pressure platform area's electricity consumption model building method based on magnanimity low-voltage platform area electricity consumption data |
| CN109726872A (en) * | 2018-12-29 | 2019-05-07 | 华润电力技术研究院有限公司 | A kind of energy consumption prediction technique, device, storage medium and electronic equipment |
| CN110175167A (en) * | 2019-05-10 | 2019-08-27 | 国网天津市电力公司电力科学研究院 | A kind of data cleaning method and system suitable for low-voltage platform area electricity consumption data |
| CN110245798A (en) * | 2019-06-18 | 2019-09-17 | 天津安捷物联科技股份有限公司 | A kind of monthly electricity demand forecasting method and system of office building electric system |
-
2019
- 2019-12-03 CN CN201911218156.6A patent/CN111177651A/en active Pending
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105117810A (en) * | 2015-09-24 | 2015-12-02 | 国网福建省电力有限公司泉州供电公司 | Residential electricity consumption mid-term load prediction method under multistep electricity price mechanism |
| CN108197156A (en) * | 2017-12-08 | 2018-06-22 | 囯网河北省电力有限公司电力科学研究院 | The abnormal electricity data restorative procedure and terminal device of power information acquisition system |
| CN108362958A (en) * | 2017-12-22 | 2018-08-03 | 国网冀北电力有限公司 | A kind of acquisition fault point diagnosis and method for repairing and mending automatically |
| CN108492134A (en) * | 2018-03-07 | 2018-09-04 | 国网四川省电力公司 | The big data user power utilization behavior analysis system integrated based on multicycle regression tree |
| CN109307811A (en) * | 2018-08-06 | 2019-02-05 | 国网浙江省电力有限公司宁波供电公司 | A kind of user's dedicated transformer electricity consumption monitoring method excavated based on big data |
| CN109445972A (en) * | 2018-09-21 | 2019-03-08 | 深圳供电局有限公司 | Data recovery method, device, equipment and storage medium |
| CN109634940A (en) * | 2018-11-12 | 2019-04-16 | 国网天津市电力公司电力科学研究院 | A kind of typical low pressure platform area's electricity consumption model building method based on magnanimity low-voltage platform area electricity consumption data |
| CN109726872A (en) * | 2018-12-29 | 2019-05-07 | 华润电力技术研究院有限公司 | A kind of energy consumption prediction technique, device, storage medium and electronic equipment |
| CN110175167A (en) * | 2019-05-10 | 2019-08-27 | 国网天津市电力公司电力科学研究院 | A kind of data cleaning method and system suitable for low-voltage platform area electricity consumption data |
| CN110245798A (en) * | 2019-06-18 | 2019-09-17 | 天津安捷物联科技股份有限公司 | A kind of monthly electricity demand forecasting method and system of office building electric system |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113568937A (en) * | 2021-08-03 | 2021-10-29 | 贵州电网有限责任公司 | Electric quantity fitting method based on VEE process |
| CN113780630A (en) * | 2021-08-17 | 2021-12-10 | 云南电网有限责任公司 | Method for realizing form code prediction based on historical electricity consumption data of electricity consumption customer |
| CN113780630B (en) * | 2021-08-17 | 2022-11-15 | 云南电网有限责任公司 | Method for realizing form code prediction based on historical electricity consumption data of electricity consumption customer |
| CN115545348A (en) * | 2022-11-23 | 2022-12-30 | 国网江苏省电力有限公司营销服务中心 | Electric quantity obtaining and fitting method suitable for complex metering and collecting conditions |
| CN115809237A (en) * | 2023-02-07 | 2023-03-17 | 河北建投水务投资有限公司 | Method and system for supplementing missing data of user water meter |
| CN116415123A (en) * | 2023-03-07 | 2023-07-11 | 清华大学 | Method and system for analyzing total water flow data of community |
| CN116415123B (en) * | 2023-03-07 | 2023-09-19 | 清华大学 | Method and system for analyzing total water flow data of community |
| CN116683452A (en) * | 2023-08-03 | 2023-09-01 | 国网山东省电力公司营销服务中心(计量中心) | Method and system for repairing solar heat lost electric quantity |
| CN116683452B (en) * | 2023-08-03 | 2023-11-10 | 国网山东省电力公司营销服务中心(计量中心) | Method and system for repairing solar heat lost electric quantity |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111177651A (en) | Time-sharing missing code fitting method for electric meter of metering automation system | |
| CN111141950B (en) | Method for judging and repairing time-sharing code abnormality of electric meter of metering automation system | |
| Newsham et al. | A comparison of four methods to evaluate the effect of a utility residential air-conditioner load control program on peak electricity use | |
| CN109726872B (en) | Energy consumption prediction method and device, storage medium and electronic equipment | |
| CN104112175A (en) | Duty arranging method and system | |
| Huang et al. | Analytics and transactive control design for the pacific northwest smart grid demonstration project | |
| JP2012221507A (en) | Energy usage analysis system and method | |
| Woo et al. | Relative kW response to residential time-varying pricing in British Columbia | |
| CN106203769A (en) | A kind of festivals or holidays based on the time difference coefficient sky level water requirement on-line prediction method | |
| CN109307811A (en) | A kind of user's dedicated transformer electricity consumption monitoring method excavated based on big data | |
| JP6293291B2 (en) | Power consumption estimation device, device management system, power consumption estimation method and program | |
| CN111122963A (en) | Time-sharing electric quantity abnormity judgment and repair method for electric meter of metering automation system | |
| CN106529728A (en) | Load zone prediction method with consideration of demand response measure | |
| CN111160601A (en) | Electric appliance demand response potential prediction method aiming at user power consumption data | |
| CN117332952A (en) | Autonomous regulation and control method and system for carbon emission | |
| CN111125633A (en) | Decomposition curve calculation method and device for electric power market transaction | |
| CN115620497A (en) | Park energy consumption early warning method and early warning system | |
| Muangjai et al. | An apply IoT for collection and analysis of specific energy consumption in production line of ready-to-drink juice at the second royal factory Mae Chan | |
| Schleich et al. | Peak demand and time-of-use pricing in a field study of residential electricity demand in Germany | |
| Wardle et al. | Initial load and generation profiles from CLNR monitoring trials | |
| TW201319833A (en) | Short-term load forecasting method for smart grid | |
| Liu et al. | A study on the buffer sizing method of CCPM technique using statistical analysis | |
| CN112258063B (en) | Method and system for calculating idle classification of housing | |
| Franco et al. | Analysis and clustering of natural gas consumption data for thermal energy use forecasting | |
| CN110598899B (en) | Local electric energy meter Shen Jiaofu business planning method and system based on data prediction |
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 |