A smart grid information system and method based on machine learning technology
A smart grid and machine learning technology, applied in the field of smart grid information system, application of smart grid information system, can solve the problem of difficult to achieve real-time virtual resource supply, to improve resource utilization and service quality, improve service quality, improve The effect of resource utilization
Inactive Publication Date: 2017-07-18
王宝会
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Problems solved by technology
However, as mentioned earlier, providing new virtual machines to users is not only a step of creating virtual machines, but also includes many other time-consuming steps.
Therefore, it is difficult to achieve real-time virtual resource provisioning unless the relevant technologies on all steps can be completed extremely quickly
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[0030] Such as figure 2As shown, the system of the present invention includes: a load information collector module, a data preprocessing module, a model selection and training module, a predictor module, a combined learning module and a configurator module.
[0031] Such as Figure 4 As shown, the present invention collects data through the data collection module, and then transmits the data to HBase [3] In the distributed database, and then obtain data from the Hbase distributed database through the client; clean up the obtained data, and analyze the quality of the data, if the data reaches the quality required by the model, the next step of model training will be performed, and the trained model It is combined into a predictor to predict the resource demand in the next time period, and the predictor module of the model is continuously revised through the integrated learning module, and finally the resource allocation demand in the next time period is given through the conf...
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The invention relates to an intelligent electrical network information system and method based on the machine learning technology. The system comprises a configuration device module, a combined learning module, a predictor module, a data preprocessing module, a model selecting and training module and a load information database. According to the invention, cloud computing resources can be utilized in a high efficiency manner and a server of a virtual machine can be provided rapidly when the electrical network information system is constructed based on the cloud computing technology in the prior art; due to the fact that most services in a data center include relatively fixed workflow, resources can be reserved more effectively by monitoring resource information of different physical server clusters and resource information of a virtual machine cluster of physical servers in real time as well as predicting the resource cost of next period in a time sequence based machine learning algorithm due to the fact that most services in a data center include relatively fixed workflow; and the resource utilization rate and the service quality of the electrical network information system are improved.
Description
technical field [0001] The invention relates to a smart grid information system and method based on machine learning technology, and belongs to the field of applying smart grid information systems. Background technique [0002] After entering the 21st century, the American Electric Power Research Institute, the US Department of Energy, and the European Commission have proposed their own visions and frameworks for the future smart grid. International organizations such as the International Electrotechnical Commission and the International Conference on Large Power Grids have also paid great attention to the smart grid. [0003] In China, the State Grid Corporation of China has established a development strategy to establish a strong smart grid, and put forward the development goals of a strong smart grid with UHV as the backbone grid, coordinated development of power grids at all levels, and characteristics of "informatization, automation, and interaction". The intelligence o...
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IPC IPC(8): G06N5/02G06Q50/06
CPCY02E40/70Y04S10/50
Inventor 马志程刘晓东王宝会靳丹米新磊张磊杨鹏郑毅王刚杨明杰
Owner 王宝会