CN208861325U - A kind of load prediction big data operation platform based on deep learning - Google Patents
A kind of load prediction big data operation platform based on deep learning Download PDFInfo
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- CN208861325U CN208861325U CN201821390121.1U CN201821390121U CN208861325U CN 208861325 U CN208861325 U CN 208861325U CN 201821390121 U CN201821390121 U CN 201821390121U CN 208861325 U CN208861325 U CN 208861325U
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The utility model discloses a kind of load prediction big data operation platform based on deep learning, it includes resource layer, resource layer is connect with podium level by Ethernet, podium level is connect with application layer by Ethernet, the resource layer is database server, podium level is work station, and application layer is monitor terminal；It solves of the existing technology since load forecast is with the construction of smart grid, necessarily leads to a large amount of data, and conventional operation platform is used to be no longer satisfied the processing to big data quantity；Huge challenge is brought to computational efficiency, reduces the technical problems such as precision of prediction.
Description
Technical field
The utility model belongs to Techniques for Prediction of Electric Loads field more particularly to a kind of load prediction based on deep learning
Big data operation platform.
Background technique
Load forecast is the important evidence of electric power safety scheduling, is guaranteeing power system stability, reliable, economical operation
Etc. have a very important significance.In recent years, domestic and international expert has done many researchs to prediction theory, proposes a variety of loads
Prediction model, such as BP neural network, wavelet analysis and support vector machines provide strong branch for Load Prediction In Power Systems
It holds.Wherein, BP neural network has stronger non-linear mapping capability and generalization ability, but is easy to produce over-fitting and part
It is optimal；Wavelet analysis have it is stronger approach, fault-tolerant ability, but wavelet basis function selection and parameter initialization it is not certain
According to criterion；Support vector machines can reject bulk redundancy sample, and robustness is preferable, but be difficult to carry out to extensive sample training,
More classification problems are solved to have difficulties；For regression analysis when data are less, training speed is fast, error rate is small, but to a large amount of numbers
According to poor processing effect.
Above-mentioned Power Load Forecasting Algorithm is unable to satisfy the electric power to become increasingly complex due to the limitation of precision and use scope
System loading prediction requires.In addition, necessarily leading to a large amount of data with the construction of China's smart grid, and use routine
Operation platform is no longer satisfied the processing to big data quantity；Huge challenge is brought to computational efficiency, reduces precision of prediction.
Summary of the invention
The technical issues of the utility model solves: propose that a kind of load prediction big data operation based on deep learning is flat
Platform, with solve it is of the existing technology necessarily lead to a large amount of data since load forecast is with the construction of smart grid,
And conventional operation platform is used to be no longer satisfied the processing to big data quantity；Huge challenge is brought to computational efficiency, is reduced
The technical problems such as precision of prediction.
The technical solution of the utility model includes:
A kind of load prediction big data operation platform based on deep learning, it includes resource layer, resource layer and podium level
It is connected by Ethernet, podium level is connect with application layer by Ethernet, and the resource layer is database server, and podium level is
Work station, application layer are monitor terminal.
The podium level provides serial-port interface, is connect by serial-port interface with data collection system, data acquisition system
System includes CPU, and voltage transformer and current transformer are connect with CPU respectively, and CPU passes through RS232 or RS485 interface and podium level
Connection.
The utility model has the beneficial effects that
Load prediction big data operation platform is divided into independent three parts by the utility model, passes through high speed between each section
Ethernet connection carry out information exchange, and data processing independently be separately independent of each other, improve data-handling efficiency and in real time
Property, improve precision of prediction；It solves of the existing technology since load forecast is with the construction of smart grid, certainty
A large amount of data are generated, and conventional operation platform is used to be no longer satisfied the processing to big data quantity；To computational efficiency band
Carry out huge challenge, reduces the technical problems such as precision of prediction.
Detailed description of the invention
Fig. 1 is utility model diagram.
Specific embodiment
A kind of load prediction big data operation platform based on deep learning, it includes resource layer, resource layer and podium level
It is connected by Ethernet, podium level is connect with application layer by Ethernet, and the resource layer is database server, and podium level is
Work station, application layer are monitor terminal；Podium level samples high-speed computer progress data processing and provides network and connects for work station
Mouthful；Monitor terminal includes electric energy terminal, mobile terminal etc., is connect by wired ethernet or wireless ethernet with podium level, is shown
Show the result of podium level data processing.Resource layer is database server composition, is mainly used for storing historical load data and go through
The information such as history weather data are used for podium level.
Podium level mainly provides data processing, data storage and application tool, while providing interface and connecting with other parts；
It is the core of entire platform.
Acquisition for real time data provides serial-port interface by podium level, is acquired by serial-port interface and data
System connection, data collection system includes CPU, and voltage transformer and current transformer are connect with CPU respectively, and CPU passes through
RS232 or RS485 interface is connect with podium level；Real time data is acquired by voltage transformer and current transformer.
Claims (2)
1. a kind of load prediction big data operation platform based on deep learning, it includes resource layer, it is characterised in that: resource layer
It being connect with podium level by Ethernet, podium level is connect with application layer by Ethernet, and the resource layer is database server,
Podium level is work station, and application layer is monitor terminal.
2. a kind of load prediction big data operation platform based on deep learning according to claim 1, it is characterised in that:
The podium level provides serial-port interface, is connect by serial-port interface with data collection system, data collection system includes
CPU, voltage transformer and current transformer are connect with CPU respectively, and CPU is connect by RS232 or RS485 interface with podium level.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821390121.1U CN208861325U (en) | 2018-08-28 | 2018-08-28 | A kind of load prediction big data operation platform based on deep learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201821390121.1U CN208861325U (en) | 2018-08-28 | 2018-08-28 | A kind of load prediction big data operation platform based on deep learning |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN208861325U true CN208861325U (en) | 2019-05-14 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| CN201821390121.1U Active CN208861325U (en) | 2018-08-28 | 2018-08-28 | A kind of load prediction big data operation platform based on deep learning |
Country Status (1)
| Country | Link |
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| CN (1) | CN208861325U (en) |
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2018
- 2018-08-28 CN CN201821390121.1U patent/CN208861325U/en active Active
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