CN100495272C - Integrative data source based automatic optimization scheduling system and method for energy source of steel and iron - Google Patents

Integrative data source based automatic optimization scheduling system and method for energy source of steel and iron Download PDF

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CN100495272C
CN100495272C CNB2007101789594A CN200710178959A CN100495272C CN 100495272 C CN100495272 C CN 100495272C CN B2007101789594 A CNB2007101789594 A CN B2007101789594A CN 200710178959 A CN200710178959 A CN 200710178959A CN 100495272 C CN100495272 C CN 100495272C
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scheduling
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server
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CN101187813A (en
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孙要夺
李向军
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Automation Research and Design Institute of Metallurgical Industry
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Automation Research and Design Institute of Metallurgical Industry
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Abstract

An automatic optimization dispatching system and a method of an iron and steel energy resource on the basis of integrated data source belonging to the data source field of information resource, which comprises a PCS layer which is constituted by a sensor, a PLC, and a DCS which are mounted on site, an in-site monitoring terminal HMI, a scheduling system data bank server, an ESP data bank server, an applied system server, a client end, a fire wall, an anti-virus server, an apparatus for connecting each computer, a controller, and a computer network of a sensor. The method can analyze energy supplying and allocation of businesses according to the specific energy utilizing condition of specific iron and steel businesses. The invention has the advantages that energy effective utilization rate of the iron and steel businesses can achieve the best effect.

Description

Automatic optimization scheduling system and method based on the iron and steel energy of integrative data source
Technical field
The invention belongs to the applied technical field of information resources, a kind of automatic optimization scheduling system and method for the iron and steel energy based on integrative data source particularly are provided, have utilized information material that comprehensive multiple channel obtains energy-saving and cost-reducing enforcement Optimization Dispatching for iron and steel enterprise.
Background technology
Along with the continuous intensification of present stage China's industrialization degree, the imbalance between supply and demand problem of the various energy of China is also day by day outstanding.A steel production enterprise will be faced with the scheduling use problem of various energy resources, can coordinate and manage flowing of the every energy goods and materials of enterprise in producing effectively, this hereto iron and steel enterprise can adapt to industry competition under the new model, the comprehensive productivity effect that improves enterprise has great important.
At the production technology characteristic of iron and steel enterprise, in conjunction with the manual dispatching strategy that has accumulated many experiences, design an Automatic Optimal scheduling scheme that meets enterprises characteristics, this will help to improve the productivity effect of enterprise, reduce the comprehensive energy consumption of enterprise.
What the large-scale steel production enterprise of China mostly adopted at present is some novel explained hereafter equipment, and these equipment have been realized very high robotization on the device control stage, can provide a large amount of production to analyze data for the production scheduling of enterprise.
Early, in China's metallurgy industry, just begun energy conservation from the late nineteen seventies in last century.It is energy-conservation that initial working energy is mainly studied single devices, but these researchs have formed the explained hereafter flow process of the practical operation of comparative maturity.
The scheduling operation of most of Real-Time Scheduling system of iron and steel enterprise all is by the personnel evaluation unscheduled event, adjust the scheduling scheme that generates in view of the above, yet the combinatorial complexity of scheduling problem makes dispatcher's overload, may cause the dispatching effect of difference.
Summary of the invention
The object of the present invention is to provide a kind of automatic optimization scheduling system and method for the iron and steel energy based on integrative data source, automatically implement the scheduling of iron and steel energy source optimization in conjunction with several data information, this method can be considered by comprehensive multi-source data, adopt special algorithm, obtain iron and steel energy source optimization scheduling scheme automatically.
The concrete enforcement of energy scheduling system of the present invention by being installed in the PCS layer that on-the-spot sensor, PLC, DCS constitute; On-site supervision terminal HMI; The dispatching system database server; The ERP database server; The application system server; Client; Hardware device such as fire wall, antivirus server constitutes (as Fig. 1) with the computer network that is connected each computer equipment, controller and sensor.
The PCS layer that on-the-spot sensor, PLC, DCS constitute is sent to data on-site supervision terminal HMI with online detected data, realizes on-the-spot control and data acquisition.Data acquisition is as follows: distributing in main production equipments, pipeline, the energy media storage equipment, several measure the instrument of indexs such as energy medium flow, speed, capacity, it is done pre-service such as filtering, buffering, conditioning, amplification by these instrument according to each self-metering different index signal, after then signal being isolated by photoelectricity, send in the label of the corresponding reference mark of corresponding data acquisition and control device (PLC, DCS).
The relational database management system of dispatching system database server operation specialty with implementing measuring point data and energy planning data and other related datas etc. of the production scene of scheduling computing, is stored in the database.Extract the online data that scheduling needs from HMI; Main various status informations and energy source data process data processing and the format conversion that realizes collection in worksite.
The application system server is the core component of total system, each module such as main operation energy scheduling modeling method, Forecasting Methodology, call data in the database server according to the module needs, and the model result that obtains after energy scheduling modeling method and Forecasting Methodology implemented writes database; Simultaneously, for some model calculation data necessary parameters, when need are adjusted, also can do to upgrade to the related data of database server and handle by the application system server.
Client is according to the requirement of user's request to application system server proposition read/write relevant information, according to the scheduling of realization of goal certain sense.
The main task of fire wall, antivirus server is the working environment of the directly related client of monitoring energy scheduling system, application system server, dispatching system server.
Workflow of the present invention is:
(1) prepares data necessary by the demand forecast of implementing the energy medium in the following time period based on the seasonal effect in time series algorithm;
(2),, do the equilibrium analysis of the energy medium in the following time period in conjunction with each energy medium demand according to the demand for energy in the following time period of prediction;
(3) when consumption is uneven in the following time period, showing needs to adopt scheduling scheme, adjusts the relation between supply and demand of energy media;
(4) when in the following time period during consumption balance, do not show and need adopt scheduling, the dispatching system end-of-job;
(5) will calculate according to dispatching algorithm, analyze and draw feasible scheduling scheme, and the consumption of energy media will be reduced in the small range by this scheduling scheme;
(6) feasible scheduling scheme is preserved also actual reference and carried out the dispatching system end-of-job.
As shown in Figure 2, the invention process is for eliminating, weaken in the following time period, the adverse effect that certain any particular energy source media generation of iron and steel group produces with quantity not sufficient.Energy forecast result according to enterprise demand in the following time period carries out equilibrium analysis, adopts specific scheduling scheme to implement scheduling for taking place when consumption is uneven.
As shown in Figure 3, the present invention has adopted a kind of method of the iron and steel energy source optimization scheduling in conjunction with multi-source data, and concrete enforcement comprises: obtain plain relevant device data, production data and energy production device data and other necessary utility appliance and the auxiliary data of producing of necessary iron and steel enterprise's iron; The iron and steel enterprise's energy management related data that is obtained is carried out data conversion treatment; The integrated dispatch management that the energy of iron and steel enterprise is carried out cost pattern/distance mode respectively as required by being situated between.
In implementation process of the present invention, need obtain plain relevant device data, production data and energy production device data and other necessary utility appliance and the auxiliary data of producing of necessary iron and steel enterprise's iron.
The plain relevant device of producing of iron and steel enterprise iron comprises: produce each processing apparatus (as blast furnace, continuous casting, cold rolling etc.) of iron and steel and workshop (as Lime Factory, the pelletizing plant etc.) device therefor of supplement production iron and steel.
Iron and steel enterprise's iron element is produced the relevant device data, comprises the largest production speed of equipment, maximum output, various media quantities and quality requirements that equipment runs well and needs, the production utilization ratio of equipment operate as normal, and plant maintenance cycle take place to safeguard the required time etc.
Iron and steel enterprise's production data comprises the Iron and Steel Production plan demand of formulation, the interim Iron and Steel Production order that takes place etc.
Energy production equipment comprises: utilize the power station equipment of gas to generate electricity, water factory's equipment of the system gas station equipment of special gas such as manufacturing oxygen, nitrogen, argon, manufacturing water purification, soft water.
The energy production device data, comprise: the largest production speed of various device, the max cap. of equipment, various media quantities and quality requirements that equipment runs well and needs, the production utilization ratio of equipment operate as normal, and the plant maintenance cycle, take place to safeguard the required time etc.
Other necessary utility appliance comprise the transfer buffer memory equipment (as gas chamber, oxygen cabinet, cistern, sand basin etc.) of energy medium, the various pipelines of energy medium transmission usefulness, the air blast facility of the normal transmission of assurance energy medium etc.
Other necessary auxiliary datas, the various media quantities and the quality requirements that comprise kind, grade and the quantity of outsourcing medium, the alternative conversion coefficient that can be situated between, various utility appliance normal operation needs, the maximum bearing capacity of equipment and plant maintenance cycle, take place to safeguard the required time etc. and the transmission efficiency of pipeline, different pipeline distance and the transfer rate, unit of transfer's cost, pipeline radius etc. between each production unit/consumption unit.
Because the difference of energy medium use amount, for different users, the related unit of energy medium of the same race may there are differences, and is necessary the unit that can be situated between of the same race in the group made to be used as unified the conversion and to handle for this reason.When having alternative can be situated between the use, also need do unified conversion of corresponding unit and handle.
The data that to handle through converting and other data of obtaining form are according to the rules deposited, and use for energy scheduling.
According to the difference of the management objectives of iron and steel group, the integrated dispatch management can adopt distance mode or cost pattern to obtain the scheduling scheme that meets management objectives automatically respectively.
Be to adopt distance mode to implement scheduling or adopt the cost pattern to implement scheduling and all need carry out the processing of dual mode, promptly specific energy medium does not have substitute energy medium mode and specific energy medium that substitute energy medium mode is arranged.
For adopting distance mode to implement scheduling, when specific energy medium did not have the substitute energy medium, its distribution of handling energy medium can be calculated according to following formula:
Σ i = 1 m 1 ( A 1 i × L 1 i ) + Σ i = 1 m 2 ( A 2 i × L 2 i ) + · · · + Σ i = 1 m n ( An i × Ln i ) = Min Σ i = 1 m 1 ( A 1 i ) = Prod 1 Σ i = 1 m 2 ( A 2 i ) = Prod 2 · · · Σ i = 1 m n ( An i ) = Prod n n = T producer - - - ( 1 )
In the formula: Min represents the bee-line amount; Prod 1, Prod 2..., Prod nThe production and supply amount of representing each production unit; m 1, m 2..., m nFor according to peripheral number of users, arrive user's distance, (for example, the turnout with No. 1 energy production unit is divided into m to the allocation block number of each energy medium production unit turnout 1The piece sendout, m 1The summation of piece is Prod 1); L1 i, L2 i..., Ln i(for example, the turnout with No. 1 energy production unit is divided into m to the pipeline distance of particular user for the allocation block of each production unit turnout 1The piece sendout, wherein the 1st pipeline distance that is assigned to the user is L1 1); A1 1, A2 i..., An i(for example, the turnout with No. 1 energy production unit is divided into m for the concrete sendout of the allocation block of each production unit turnout 1The piece sendout, wherein the 1st sendout is Al 1); N, T ProducorThe sum of representing each production unit.
For adopting distance mode to implement scheduling, when specific energy medium has the substitute energy medium, do conversion process by (2) formula earlier, handle by (1) formula again.
Reduction coefficient Substitute medium=specific loss amount The specific energy medium/ specific loss amount Substitute medium(2)
For adopting the cost pattern to implement scheduling, when specific energy medium did not have the substitute energy medium, its distribution of handling energy medium can be calculated according to following formula:
Σ i = 1 m 1 ( A 1 i × L 1 i ) + Σ i = 1 m 2 ( A 2 i × L 2 i ) + · · · + Σ i = 1 m n ( An i × Ln i ) = Min Σ i = 1 m 1 ( A 1 i ) = Prod 1 Σ i = 1 m 2 ( A 2 i ) = Prod 2 · · · Σ i = 1 m n ( An i ) = Prod n n = T producer - - - ( 3 )
In the formula: Min represents the minimum cost amount; Prod 1, Prod 2..., Prod nThe production and supply amount of representing each production unit; m 1, m 2..., m nFor according to peripheral number of users, arrive user's distance, (for example, the turnout with No. 1 energy production unit is divided into m to the allocation block number of each energy medium production unit turnout 1The piece sendout, m 1The summation of piece is Prod 1); C1 i, C2 i..., Cn i(for example, the turnout with No. 1 energy production unit is divided into m for the allocation block of each production unit turnout is failed cost to the unit tube of particular user 1The piece sendout, wherein the 1st defeated cost of unit tube that is assigned to the user is Cl 1); A1 i, A2 i..., An i(for example, the turnout with No. 1 energy production unit is divided into m for the concrete sendout of the allocation block of each production unit turnout 1The piece sendout, wherein the 1st sendout is A1 1); N, T ProducerThe sum of representing each production unit.
For adopting the cost pattern to implement scheduling, when specific energy medium has the substitute energy medium, do conversion process by (4) formula earlier, handle by (3) formula again.
Reduction coefficient Substitute medium=specific loss amount The specific energy medium/ specific loss amount Substitute medium(4)
The invention has the advantages that:
The present invention has adopted based on distributed component technology and Object-oriented Technique, adopt the mode of multi-layer framework, main functional modules and the algorithm mode with assembly is deployed in the application server of middle layer, thereby provide a kind of general extendible, satisfy the energy scheduling integrated system of multiple iron and steel technological process requirement.
Compared with dispatch embodiment in the past, the method that the present invention adopts can make full use of the several data relevant with the iron and steel energy medium, has fully excavated multi-source data effectiveness.In addition, obtain the Optimization Dispatching scheme automatically according to multi-source data and avoided artificial subjectivity and the disadvantage of bringing because of lacking experience to a certain extent.
Description of drawings
Fig. 1 is a system construction drawing of the present invention:
The PCS layer that 1 sensor, PLC, DCS constitute is sent to data on-site supervision terminal HMI with online detected data, realizes on-the-spot control and data acquisition;
2 scheduling integrated system database servers extract the online data that scheduling needs from HMI; Main various status informations and energy source data process data processing and the format conversion that realizes collection in worksite,
3 dispatching system database servers read related data from the ERP database and deposit in the database;
4 application system servers are from database server read/write scheduling relevant information;
5 clients are according to the requirement of user's request to application system server proposition read/write relevant information, according to the scheduling of realization of goal certain sense;
6,7,8 is auxiliary the needs, is for guaranteeing the system safety operation needs, by fire wall, antivirus server the directly related client of dispatching system, application system server, database server being done necessary system protection measure.
Fig. 2 is a workflow diagram of the present invention:
1 prepares data necessary is implemented the energy medium in the following time period by specific algorithm demand forecast;
2 according to the demand for energy in the following time period of prediction, in conjunction with each energy medium demand, does the equilibrium analysis of the energy medium in the following time period;
3 when consumption is uneven in the following time period, and showing needs to adopt scheduling scheme, adjusts the relation between supply and demand of energy media;
4 when in the following time period during consumption balance, does not show and need adopt scheduling, the dispatching system end-of-job;
5 will calculate, analyze and draw feasible scheduling scheme, and the consumption of energy media will be reduced in the small range by this scheduling scheme according to dispatching algorithm;
6 preserve also actual reference with feasible scheduling scheme carries out the dispatching system end-of-job.
Fig. 3 is scheduling flow figure of the present invention
Embodiment
1) the every network equipment (as Fig. 1) required according to the energy scheduling system carries out the necessary network step and establishes, with the sensor at scene, the PCS layer that PLC, DCS constitute; On-site supervision terminal HMI; The dispatching system database server; The ERP database server; The application system server; Client; Hardware device such as fire wall, antivirus server is friendly to be connected, and forms required computer network hardware configuration;
2), enable to carry out the relevant energy detection of the PCS layer achievement data that backstage automatic collection site monitor terminal HMI collects to the allotment of scheduling system database server implementation necessity;
3) for the data of obtaining from the ERP database server, do the data necessary conversion, the list of selecting to be fit to is deposited, and carries out the basic data preparation for implementing energy scheduling;
4) some basic datas that need for energy forecast, scheduling are done data necessary conversion, data preparation, unified relevant energy medium unit;
5) according to target requirement, the specific energy medium is taked the prediction of emergence size of specific period, do equilibrium analysis for prediction result;
6) for when the consumption imbalance takes place, select specific scheduling method, dispatching method to implement scheduling;
7) scheduling scheme that relatively forms by different modes is chosen the scheme that is fit to actual state, puts into practice, and the recording dispatching scheme needs for following comparative analysis simultaneously.

Claims (3)

1, a kind of automatic optimization scheduling system of the iron and steel energy based on integrative data source, it is characterized in that, comprise the PCS layer that is installed in on-the-spot sensor, PLC, DCS formation, on-site supervision terminal HMI, dispatching system database server, ERP database server, the application system server, client, fire wall, antivirus server connect the computer network of each computer equipment, controller and sensor;
The PCS layer that on-the-spot sensor, PLC, DCS constitute is sent to data on-site supervision terminal HMI with online detected data, realizes on-the-spot control and data acquisition;
The relational database management system of dispatching system database server operation specialty with implementing measuring point data and energy planning data and other related datas of the production scene of scheduling computing, is stored in the dispatching system database; Extract the online data that scheduling needs from HMI; Main various status informations and energy source data process data processing and the format conversion that realizes collection in worksite;
The application system server is the core component of total system, operation energy scheduling modeling method, each module of Forecasting Methodology, call data in the dispatching system database server according to the module needs, and the model result that obtains after energy scheduling modeling method and Forecasting Methodology implemented writes the dispatching system database; Simultaneously, for some model calculation data necessary parameters, need obtain plain relevant device data, production data and energy production device data and other necessary utility appliance and the auxiliary data of producing of necessary iron and steel enterprise's iron; By the application system server related data of scheduling system database server being done renewal when need are adjusted handles;
Client is according to the requirement of user's request to application system server proposition read/write relevant information, according to the scheduling of realization of goal certain sense;
The task of fire wall, antivirus server is the working environment of the directly related client of monitoring energy scheduling system, application system server, dispatching system database server.
2, according to the described dispatching system of claim 1, it is characterized in that, data acquisition is as follows: distributing in production equipment, pipeline, the energy media storage equipment, several measure the instrument of energy medium flow, speed, capacity performance index, according to each self-metering different index signal it is done filtering, buffering, conditioning, amplification pre-service by these instrument, after then signal being isolated by photoelectricity, send in the label of the corresponding reference mark of corresponding data acquisition and control device PLC, DCS.
3, a kind of method that adopts the Automatic Optimal scheduling of the iron and steel energy that the described automatic optimization scheduling system of claim 1 carries out integrative data source is characterized in that workflow is:
(1) prepares data necessary, need obtain plain relevant device data, production data and energy production device data and other necessary utility appliance and the auxiliary data of producing of necessary iron and steel enterprise's iron; By the demand forecast of implementing the energy medium in the following time period based on the seasonal effect in time series algorithm;
(2),, do the equilibrium analysis of the energy medium in the following time period in conjunction with each energy medium demand according to the demand for energy in the following time period of prediction;
(3) when consumption is uneven in the following time period, showing needs to adopt scheduling scheme, adjusts the relation between supply and demand of energy media;
(4) when in the following time period during consumption balance, do not show and need adopt scheduling, the dispatching system end-of-job;
(5) will calculate according to dispatching algorithm, analyze and draw feasible scheduling scheme, and the consumption of energy media will be reduced in the small range by this scheduling scheme;
(6) feasible scheduling scheme is preserved also actual reference and carried out the dispatching system end-of-job.
CNB2007101789594A 2007-12-07 2007-12-07 Integrative data source based automatic optimization scheduling system and method for energy source of steel and iron Expired - Fee Related CN100495272C (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101619850B (en) * 2009-08-06 2011-04-13 杭州盘古自动化系统有限公司 Dispatching method and dispatching system based on load online forecasting of thermoelectric power system

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101377678B (en) * 2008-09-12 2012-05-09 华南理工大学 Synthetic optimizing and scheduling system of energy system
CN102032443A (en) * 2009-09-27 2011-04-27 中国石油化工股份有限公司 Gasholder load prediction equipment and method and gas scheduling system and method
CN102156467B (en) * 2011-03-28 2012-11-14 山西太钢不锈钢股份有限公司 Steel production planning-based energy forecasting method
CN102376026B (en) * 2011-10-31 2015-08-05 冶金自动化研究设计院 Industrial enterprise power utilization load optimizing system
CN102520694A (en) * 2011-12-19 2012-06-27 中冶南方(武汉)威仕工业炉有限公司 Whole operation energy situation on-line analysis diagnostic equipment of integrated iron and steel works
CN102736592A (en) * 2012-05-29 2012-10-17 上海桥茵自动化设备有限公司 Control and management system and control and management method of Internet-of-things measurement and control terminal
CN102708598A (en) * 2012-06-04 2012-10-03 江南大学 Site production data acquisition method based on wireless network
CN102780770B (en) * 2012-07-12 2014-08-13 北京同力天合管理软件有限公司 Model-driven type deployment method of ERP (Enterprise Resource Planning) build platform
CN102915006B (en) * 2012-09-12 2015-05-20 北京志能祥赢节能环保科技有限公司 Method for offline analyzing and online scheduling of byproduct gas of metallurgy industry
CN102929219A (en) * 2012-09-24 2013-02-13 四川大学 Cloud-computing-based production monitoring and intelligent scheduling decision making system
CN102902205A (en) * 2012-10-18 2013-01-30 中煤科工集团武汉设计研究院 Long-distance coal transporting pipeline DMS (Distribution Management System) network simulation system (SimS) (Seamless Integration of Multisource Spatialdata)
CN103439926B (en) * 2013-07-26 2016-05-18 同济大学 A kind of iron and steel enterprise coal gas Optimized Operation device
CN103488722A (en) * 2013-09-13 2014-01-01 武汉地大信息工程股份有限公司 Multi-source monitoring data integration system and method
US20150350303A1 (en) * 2014-05-29 2015-12-03 Chia-I Lin Manufacturing optimization platform and method
CN104133393A (en) * 2014-07-28 2014-11-05 浙江中控软件技术有限公司 Energy management control method and device
CN104102211B (en) * 2014-07-29 2017-02-22 浙江中控软件技术有限公司 Scheduling method, server and system of combined heat and power generation system of fire coal thermal power plant
CN104102212B (en) * 2014-07-29 2017-02-22 浙江中控软件技术有限公司 Dispatching method, apparatus and system for gas and steam system in iron and steel enterprises
CN106991539B (en) * 2017-04-11 2020-06-16 中国科学院过程工程研究所 Energy system optimal scheduling method and device
CN108549345A (en) * 2018-05-10 2018-09-18 郑州大学西亚斯国际学院 A kind of iron and steel enterprise's dispatching management information system and its management method
CN112051762B (en) * 2020-08-05 2024-05-14 上海电气工程设计有限公司 Closed-loop management method and system for micro-grid and comprehensive energy
CN112764368B (en) * 2020-12-14 2023-01-06 中国大唐集团科学技术研究院有限公司火力发电技术研究院 Configurable closed-loop control system for coal electric unit of thermal power plant
CN117970895B (en) * 2024-03-29 2024-07-02 国网浙江省电力有限公司营销服务中心 Method and system for diagnosing and optimizing energy efficiency of steel production process based on Yong analysis

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
钢铁企业MES中的计划调度系统. 刘晓强，顾佳晨，孙彦广，崔新莹.冶金自动化，第1期. 2004
钢铁企业MES中的计划调度系统. 刘晓强，顾佳晨，孙彦广，崔新莹.冶金自动化，第1期. 2004 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101619850B (en) * 2009-08-06 2011-04-13 杭州盘古自动化系统有限公司 Dispatching method and dispatching system based on load online forecasting of thermoelectric power system

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