CN109961187A - ENERGY PLANNING method and ENERGY PLANNING system - Google Patents
ENERGY PLANNING method and ENERGY PLANNING system Download PDFInfo
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- CN109961187A CN109961187A CN201910236590.0A CN201910236590A CN109961187A CN 109961187 A CN109961187 A CN 109961187A CN 201910236590 A CN201910236590 A CN 201910236590A CN 109961187 A CN109961187 A CN 109961187A
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- 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"
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- 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—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P80/00—Climate change mitigation technologies for sector-wide applications
- Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
Abstract
The invention discloses a kind of ENERGY PLANNING method and ENERGY PLANNING system, which includes: to obtain multiple enterprises present in target area；The history for obtaining the multiple enterprise uses energy project information and can the one-to-one history energy information of project information with the history；It is obtained with energy information with energy prediction model according to the history of the multiple enterprise energy project information and history corresponding with energy project information with the history；It is optimized to obtain optimization energy prediction model with energy prediction model to described；According to newly obtaining with energy project information and the optimization with energy prediction model with energy consumption information for the multiple enterprise；ENERGY PLANNING is carried out with energy consumption information according to described.The present invention has the advantage that energy Expenditure Levels can be used with Accurate Prediction target area, and then the situation of energy supply surplus or energy supply deficiency is effectively reduced.
Description
Technical field
The present invention relates to ENERGY PLANNING technical fields, and in particular to a kind of ENERGY PLANNING method and ENERGY PLANNING system.
Background technique
In the prior art, in the ENERGY PLANNING load prediction stage, it is typically based on construction scope and population size, is chosen local
With energy index, obtained a result using index method.When the scheme that develops planning, generally according to the selected energy supply facility of load with energy object
Scale.But the energy consumption forecasting inaccuracy of the prior art is true, cause to formulate will appear when energization schemes provide the energy energy supply it is superfluous or
Energize insufficient situation.
Summary of the invention
The present invention is directed at least solve one of above-mentioned technical problem.
For this purpose, the first purpose of this invention is to propose a kind of ENERGY PLANNING method, it can be with Accurate Prediction target area
With can Expenditure Levels, and then the situation that energy supply is superfluous or energy supply is insufficient is effectively reduced.
To achieve the goals above, embodiment of the invention discloses a kind of ENERGY PLANNING methods, comprising the following steps: obtains
Take multiple enterprises present in target area；Obtain the history of the multiple enterprise with can project information and with the history energy
Project information one-to-one history energy information；According to the history of the multiple enterprise with can project information and with the history
It is obtained with the corresponding history of energy project information with energy information with energy prediction model；It optimizes to obtain with energy prediction model to described
Optimization energy prediction model；New according to the multiple enterprise is used with energy project information and the optimization with energy prediction model
It can consumption information；ENERGY PLANNING is carried out with energy consumption information according to described.
ENERGY PLANNING method according to an embodiment of the present invention, by the energy project information of the history to Target Enterprise and therewith
Corresponding history with can information establish with can prediction model, and to can prediction model optimize to obtain optimization with can predict mould
Type, and then energy Expenditure Levels can be used with Accurate Prediction target area according to optimization energy prediction model, and then confession is effectively reduced
It can superfluous or energy supply deficiency situation.
In addition, ENERGY PLANNING method according to the above embodiment of the present invention can also have the following additional technical features:
Further, described to believe according to the history of the multiple enterprise energy project information and with history energy project
Corresponding history is ceased to be obtained including: from the history of the multiple enterprise energy project letter with the step of energy prediction model with energy information
A part of history energy project information is selected in breath and one-to-one history is trained to obtain the use with energy information therewith
It can prediction model.
Further, described to optimize the step of obtaining optimization energy prediction model packet with energy prediction model to described
Include: from the history of the multiple enterprise with can select in project information the history of remainder with can project information and therewith one by one
Corresponding history carries out assessment amendment with energy prediction model to described first with energy information and obtains optimization energy prediction model.
Further, it is described it is new with can project information include scale of the project information and project implementation time, then the basis
The multiple enterprise it is new with can project information and the optimization obtained with energy prediction model include: with the step of energy consumption information
Current year is obtained with energy consumption information with energy prediction model according to the scale of the project information and the optimization；It is real according to the project
Time and the optimization is applied to be obtained with energy prediction model with energy correction factor；Being used according to the current year can consumption information and the use
Energy correction factor obtains the energy consumption information.
Second object of the present invention is to propose a kind of ENERGY PLANNING system, can use energy with Accurate Prediction target area
Expenditure Levels, and then the situation that energy supply is superfluous or energy supply is insufficient is effectively reduced.
To achieve the goals above, embodiment of the invention discloses a kind of ENERGY PLANNING systems, comprising: acquisition of information mould
Block, for obtaining multiple enterprises present in target area, and obtain the history of the multiple enterprise with can project information and with
History energy project information one-to-one history energy information；Model building module, for according to the multiple enterprise
History with can project information and with the history with can the corresponding history of project information with can information obtain using energy prediction model；
Model optimization module is optimized to obtain optimization energy prediction model with energy prediction model for described；With energy prediction module, use
In newly obtaining with energy project information and the optimization with energy prediction model with energy consumption information according to the multiple enterprise；The energy
Planning module, for carrying out ENERGY PLANNING with energy consumption information according to described.
ENERGY PLANNING system according to an embodiment of the present invention, by the energy project information of the history to Target Enterprise and therewith
Corresponding history with can information establish with can prediction model, and to can prediction model optimize to obtain optimization with can predict mould
Type, and then energy Expenditure Levels can be used with Accurate Prediction target area according to optimization energy prediction model, and then confession is effectively reduced
It can superfluous or energy supply deficiency situation.
In addition, ENERGY PLANNING system according to the above embodiment of the present invention can also have the following additional technical features:
Further, the model building module is specifically used for being selected from the history of the multiple enterprise in energy project information
A part of history is selected with can project information and therewith one-to-one history is trained to obtain the use with energy information and can predict
Model.
Further, the model optimization module is specifically used for being selected from the history of the multiple enterprise in energy project information
Select remainder history can project information and therewith one-to-one history energy information to described first with can predict mould
Type carries out assessment amendment and obtains optimization energy prediction model.
Further, the energy prediction module is specifically used for pre- with energy according to the scale of the project information and the optimization
Survey model obtains current year energy consumption information, and is used according to the project implementation time and the optimization with energy prediction model
Can correction factor, and then according to the current year with can consumption information and it is described with energy correction factor obtain it is described use can consume letter
Breath.
Additional aspect and advantage of the invention will be set forth in part in the description, and will partially become from the following description
Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect of the invention and advantage will become from the description of the embodiment in conjunction with the following figures
Obviously and it is readily appreciated that, in which:
Fig. 1 is the flow chart of the ENERGY PLANNING method of one embodiment of the invention；
Fig. 2 is the structural block diagram of the ENERGY PLANNING system of one embodiment of the invention.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end
Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached
The embodiment of figure description is exemplary, and for explaining only the invention, and is not considered as limiting the invention.
In the description of the present invention, it is to be understood that, term " center ", " longitudinal direction ", " transverse direction ", "upper", "lower",
The orientation or positional relationship of the instructions such as "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outside" is
It is based on the orientation or positional relationship shown in the drawings, is merely for convenience of description of the present invention and simplification of the description, rather than instruction or dark
Show that signified device or element must have a particular orientation, be constructed and operated in a specific orientation, therefore should not be understood as pair
Limitation of the invention.In addition, term " first ", " second " are used for description purposes only, it is not understood to indicate or imply opposite
Importance.
In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, term " installation ", " phase
Even ", " connection " shall be understood in a broad sense, for example, it may be being fixedly connected, may be a detachable connection, or be integrally connected；It can
To be mechanical connection, it is also possible to be electrically connected；It can be directly connected, can also can be indirectly connected through an intermediary
Connection inside two elements.For the ordinary skill in the art, above-mentioned term can be understood at this with concrete condition
Concrete meaning in invention.
Referring to following description and drawings, it will be clear that these and other aspects of the embodiment of the present invention.In these descriptions
In attached drawing, some particular implementations in the embodiment of the present invention are specifically disclosed, to indicate to implement implementation of the invention
Some modes of the principle of example, but it is to be understood that the scope of embodiments of the invention is not limited.On the contrary, of the invention
Embodiment includes all changes, modification and the equivalent fallen within the scope of the spirit and intension of attached claims.
The present invention is described below in conjunction with attached drawing.
Fig. 1 is the flow chart of the ENERGY PLANNING method of one embodiment of the invention.As shown in Figure 1, the energy of the invention is advised
The method of drawing, comprising the following steps:
S1: multiple enterprises present in target area are obtained.
Specifically, each enterprise provides the registered address of enterprise in file on record on the net.When user's selected target from network
When region, multiple enterprises present in available target area.In an example of the invention, user has selected certain industry
Garden passes through multiple chartered enterprises of the available industrial park step S1.
S2: obtaining the history energy project information of multiple enterprises and uses with the one-to-one history of history energy project information
It can information.
Specifically, after the multiple enterprises for obtaining target area, one of enterprise is selected, and the history for obtaining the enterprise is used
It can project information and corresponding history energy information.Such as in A, there are X history with can project (such as factory for the enterprise
The projects such as production and processing), and the history energy information of X project in A is obtained, such as the enterprise is in the electricity consumption of A X project
Amount, Natural gas consumption and energy water etc..Then to other enterprises of target area obtain respectively history can project information and
Corresponding history energy information.
S3: according to the history of multiple enterprises with can project information and with history with can the corresponding history of project information with can believe
Breath is obtained with energy prediction model.
Specifically, by the history of multiple enterprises energy project information and history energy corresponding with energy project information with history
Information input is trained to obtain with energy prediction model into preset training pattern.
In one embodiment of the invention, step S3 further comprises: from the history of multiple enterprises energy project information
A part of history of middle selection is with can project information and therewith one-to-one history with energy information is trained to obtain use and can be predicted
Model.
S4: optimize to optimizing to obtain with energy prediction model with energy prediction model.
In one embodiment of the invention, step S4 further comprises: from the history of multiple enterprises energy project information
The history of middle selection remainder can project information and therewith one-to-one history energy information to first with can predict mould
Type carries out assessment amendment and obtains with energy prediction model.That is step S3 uses a part of history energy project information and corresponding history
It is trained with energy information and obtains the pre- of the remainder with energy project information with the history for after energy prediction model, inputting remainder
It surveys with energy information.According to by with can prediction model obtain remainder history can project information prediction with can information with
True history with can information be compared, to can prediction model optimization amendment by the result that is obtained with energy prediction model with
Difference between legitimate reading obtains optimization energy prediction model when the difference is less than default disparity range.
S5: new according to multiple enterprises is obtained with energy project information and optimization with energy prediction model with energy consumption information.
Specifically, obtain optimization with can after prediction model, by multiple enterprises it is new with can project information be input to optimization use
Can in prediction model it is available this it is new with can project information with can consumption information.
In one embodiment of the invention, new with energy project information includes scale of the project information and project implementation time,
Then step S5 further comprises:
S5-1: current year is obtained with energy consumption information with energy prediction model with optimization according to scale of the project information.Specifically, such as
Fruit this it is new with can project information be the project enabled current year, such as scale of the project is production rubber product (such as rubber tyre/rubber
Rubber overshoes) 1000 tons, optimization is with can contain the required with energy consumption information of history production rubber product in prediction model.Then root
It is analyzed to obtain current year with energy consumption information for scale of the project in energy prediction model according to optimization according to connecing.
S5-2: it is obtained with energy prediction model with energy correction factor according to project implementation time and optimization.
Specifically, it due to the development of science and technology, such as improves a certain technology with energy project and the project is more saved
It can be reduced with capable of consume, or improve production efficiency yield is made the information such as to increase and this new can use energy project information with time effects
Use can consume, it is therefore desirable to set one with project implementation time change use energy correction factor.Wherein, the correction factor
It can be gone out by history energy project and history energy data-evaluation.In an example of the invention, optimization is with can predict mould
Type by certain enterprise A, A+1 ..., in multiple times of A+n some product scale of the project and history with can believe
Ceasing the use for statistical analysis that obtains can correction factor.
S5-3: it obtains according to current year energy consumption information and with energy correction factor with energy consumption information.
S6: new according to multiple enterprises carries out ENERGY PLANNING with energy consumption information with energy project information is corresponding.
Specifically, energy is carried out with energy consumption information and the energy scenario for being currently able to provide according to needed for the target area
Source planning.In an example of the invention, the new use of the multiple enterprises in target area has been obtained with energy prediction model by optimization
Can project information with can consumption information (year power consumption, year Natural gas consumption and year water usage amount), then according to the target
The supply amount (electricity maximum supply amount, natural gas maximum supply amount and water maximum supply amount) of the existing energy resource supply equipment in region carries out
Compare, if not being able to satisfy the new use with energy project information can consume, needs to provide more energy supply amounts.
ENERGY PLANNING method according to an embodiment of the present invention, by the energy project information of the history to Target Enterprise and therewith
Corresponding history with can information establish with can prediction model, and to can prediction model optimize to obtain optimization with can predict mould
Type, and then energy Expenditure Levels can be used with Accurate Prediction target area according to optimization energy prediction model, and then confession is effectively reduced
It can superfluous or energy supply deficiency situation.
Fig. 2 is the structural block diagram of the ENERGY PLANNING system of one embodiment of the invention.As shown in Fig. 2, the energy of the invention
Planning system, comprising: data obtaining module 100, model building module 200, model optimization module 300, with can prediction module 400
With ENERGY PLANNING module 500.
Wherein, data obtaining module 100 is for obtaining multiple enterprises present in target area, and obtains multiple enterprises
History with can project information and with history with can the one-to-one history of project information with can information.Model building module 200 is used
It is used according to the history energy project information and history corresponding with energy project information with history of multiple enterprises with energy information
It can prediction model.Model optimization module 300 is used to be optimized with energy prediction model to obtain optimization energy prediction model.It is pre- with energy
Module 400 is surveyed for obtaining with energy project information and optimization with energy prediction model with energy consumption information according to the new of multiple enterprises.
ENERGY PLANNING module 500 is used to carry out ENERGY PLANNING according to energy consumption information.
ENERGY PLANNING system according to an embodiment of the present invention, by the energy project information of the history to Target Enterprise and therewith
Corresponding history with can information establish with can prediction model, and to can prediction model optimize to obtain optimization with can predict mould
Type, and then energy Expenditure Levels can be used with Accurate Prediction target area according to optimization energy prediction model, and then confession is effectively reduced
It can superfluous or energy supply deficiency situation.
In one embodiment of the invention, model building module 200 is specifically used for from the history of multiple enterprises energy item
Select a part of history with can project information and therewith one-to-one history with energy information is trained and is used in mesh information
It can prediction model.
In one embodiment of the invention, model optimization module 300 is specifically used for from the history of multiple enterprises energy item
The history energy project information of remainder is selected in mesh information and one-to-one history energy information uses energy to first therewith
Prediction model carries out assessment amendment and obtains optimization energy prediction model.
In one embodiment of the invention, it is specifically used for energy prediction module 400 according to scale of the project information and optimization
With can prediction model obtain current year with can consumption information, and according to the project implementation time and optimization with energy prediction model obtain using energy
Correction factor, and then obtain according to current year energy consumption information and with energy correction factor with energy consumption information.
It should be noted that the specific embodiment and the embodiment of the present invention of the ENERGY PLANNING system of the embodiment of the present invention
The specific embodiment of ENERGY PLANNING method is similar, referring specifically to the description of ENERGY PLANNING method part, in order to reduce redundancy, no
It repeats.
In addition, other compositions of the ENERGY PLANNING system of the embodiment of the present invention and effect are for those skilled in the art
For be all it is known, in order to reduce redundancy, do not repeat them here.
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
Although an embodiment of the present invention has been shown and described, it will be understood by those skilled in the art that: not
A variety of change, modification, replacement and modification can be carried out to these embodiments in the case where being detached from the principle of the present invention and objective, this
The range of invention is by claim and its equivalent limits.
Claims (8)
1. a kind of ENERGY PLANNING method, which comprises the following steps:
Obtain multiple enterprises present in target area；
The history for obtaining the multiple enterprise uses energy project information and can the one-to-one history of project information with the history
With energy information；
According to the history of the multiple enterprise energy project information and history energy corresponding with energy project information with the history
Information is obtained with energy prediction model；
It is optimized to obtain optimization energy prediction model with energy prediction model to described；
According to newly obtaining with energy project information and the optimization with energy prediction model with energy consumption information for the multiple enterprise；
ENERGY PLANNING is carried out with energy consumption information according to described.
2. ENERGY PLANNING method according to claim 1, which is characterized in that described to be used according to the history of the multiple enterprise
Energy project information and history corresponding with energy project information with the history are obtained with energy information with packet the step of energy prediction model
It includes:
From the history of the multiple enterprise with can select in project information a part of history can project information and a pair therewith
The history answered is trained to obtain the energy prediction model with energy information.
3. ENERGY PLANNING method according to claim 2, which is characterized in that it is described to it is described with can prediction model carry out it is excellent
Change obtains optimizing
From the history of the multiple enterprise with can select in project information the history of remainder with can project information and with one of
One corresponding history with can information to described first with can prediction model carry out assessment amendment and obtain described optimize with can predict mould
Type.
4. ENERGY PLANNING method according to claim 1, which is characterized in that it is described it is new with can project information include project rule
It is mould information and project implementation time, then described to be predicted according to the new of the multiple enterprise with energy project information and optimization use
Model obtains
Current year is obtained with energy consumption information with energy prediction model according to the scale of the project information and the optimization；
It is obtained with energy prediction model with energy correction factor according to the project implementation time and the optimization；
According to the current year with can consumption information and it is described with can correction factor obtain it is described with energy consumption information.
5. a kind of ENERGY PLANNING system characterized by comprising
Data obtaining module, for obtaining multiple enterprises present in target area, and the history for obtaining the multiple enterprise is used
Can project information and with the history with can the one-to-one history of project information with can information；
Model building module, for believing according to the history of the multiple enterprise energy project information and with history energy project
Corresponding history is ceased to be obtained with energy information with energy prediction model；
Model optimization module is optimized to obtain optimization energy prediction model with energy prediction model for described；
With can prediction module, for according to the multiple enterprise it is new with can project information and the optimization obtained with energy prediction model
To with can consumption information；
ENERGY PLANNING module, for carrying out ENERGY PLANNING with energy consumption information according to described.
6. ENERGY PLANNING system according to claim 5, which is characterized in that the model building module is specifically used for from institute
The history of multiple enterprises is stated with a part of history energy project information and therewith one-to-one history can be selected in project information
It is trained to obtain the energy prediction model with energy information.
7. ENERGY PLANNING system according to claim 6, which is characterized in that the model optimization module is specifically used for from institute
State the history of multiple enterprises with can select in project information the history of remainder with can project information and therewith correspondingly
History carries out assessment amendment with energy prediction model to described first with energy information and obtains optimization energy prediction model.
8. ENERGY PLANNING system according to claim 5, which is characterized in that described to be specifically used for basis with energy prediction module
The scale of the project information and the optimization are obtained using energy consumption information for the year with energy prediction model, and according to the project implementation
Time and the optimization with can prediction model obtain with can correction factor, and then according to current year energy consumption information and described
The energy consumption information is obtained with energy correction factor.
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| CN110826809A (en) * | 2019-11-11 | 2020-02-21 | 上海积成能源科技有限公司 | Energy consumption weight automatic distribution system and method based on prediction and rolling optimization |
| CN111382905A (en) * | 2020-03-04 | 2020-07-07 | 湖南城市学院 | Energy utilization system and method for comprehensively utilizing natural energy |
| CN113361829A (en) * | 2021-08-09 | 2021-09-07 | 新风光电子科技股份有限公司 | Time adjustment method for contract energy management based on artificial intelligence and big data |
| CN116090798A (en) * | 2023-04-07 | 2023-05-09 | 山东历控能源有限公司 | Comprehensive energy scheduling method and system |
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| CN110826809A (en) * | 2019-11-11 | 2020-02-21 | 上海积成能源科技有限公司 | Energy consumption weight automatic distribution system and method based on prediction and rolling optimization |
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| CN113361829A (en) * | 2021-08-09 | 2021-09-07 | 新风光电子科技股份有限公司 | Time adjustment method for contract energy management based on artificial intelligence and big data |
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