Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194914
Guo Li, Fang Xiang, Wu Shuang
Under the background of energy Internet, the application of a series of new technologies and new products has made the development of power grids more rapid. In the contemporary context, the power grid is gradually getting rid of the traditional focus on scale development and focusing on improving efficiency and efficiency. Therefore, it is necessary to establish an integrated evaluation system to evaluate the progress status of the power grid for the development status of the power grid. Based on the energy Internet background, this paper establishes a set of index systems suitable for the development status of the power grid and combines the entropy method with fuzzy comprehensive evaluation to establish an evaluation model. The example shows the validity of the model proposed in this paper.
{"title":"Energy Internet Evaluation Based on Fuzzy Comprehensive Evaluation Method","authors":"Guo Li, Fang Xiang, Wu Shuang","doi":"10.1109/ICAIIS49377.2020.9194914","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194914","url":null,"abstract":"Under the background of energy Internet, the application of a series of new technologies and new products has made the development of power grids more rapid. In the contemporary context, the power grid is gradually getting rid of the traditional focus on scale development and focusing on improving efficiency and efficiency. Therefore, it is necessary to establish an integrated evaluation system to evaluate the progress status of the power grid for the development status of the power grid. Based on the energy Internet background, this paper establishes a set of index systems suitable for the development status of the power grid and combines the entropy method with fuzzy comprehensive evaluation to establish an evaluation model. The example shows the validity of the model proposed in this paper.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122980578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194878
Rensheng Liu, Godwin Norense Osarumwense Asemota, Sarah Benimana, Aphrodis Nduwamungu, Samuel Bimenyimana, J. De Dieu Niyonteze
Accurate and precise prediction of power output plays a great significance in power system industry, as it provides the basic outlooks and views for making future decisions in power system planning and operation. This paper used monthly and annual dataset of output power and solar irradiance from a stand-alone solar system to compare nonlinear autoregressive neural network (NARNET) and nonlinear autoregressive with External (Exogenous) input neural network algorithms in predicting (short term and long term prediction) the output power from photovoltaic (PV) system. During the execution of prediction, The Levenberg-Marquardt method was adopted and used for training. Comparison results reveals that NARNET and NARX neural network are both suitable for performing PV output power prediction, but NARX was found to be more accurate. NARNET best prediction result was achieved with MSE (Mean Square Errors) equal to 1.6153 and coefficient R equals to 0.47643 while for annual NARNET prediction model, the MSE and R were found to be equals to 0.84891 and 0.82244. For NARX monthly prediction model, the MSE and R were equal to 0.99206 and 0.53094 while for the case of NARX annual prediction model, the MSE and R were 0.8008 and 0.85248 respectively. The lower the MSE indicates few errors and the more R is close to unity indicates the better correlation and great relation between actual and predicted values.
{"title":"Comparison of Nonlinear Autoregressive Neural Networks Without and With External Inputs for PV Output Power Prediction","authors":"Rensheng Liu, Godwin Norense Osarumwense Asemota, Sarah Benimana, Aphrodis Nduwamungu, Samuel Bimenyimana, J. De Dieu Niyonteze","doi":"10.1109/ICAIIS49377.2020.9194878","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194878","url":null,"abstract":"Accurate and precise prediction of power output plays a great significance in power system industry, as it provides the basic outlooks and views for making future decisions in power system planning and operation. This paper used monthly and annual dataset of output power and solar irradiance from a stand-alone solar system to compare nonlinear autoregressive neural network (NARNET) and nonlinear autoregressive with External (Exogenous) input neural network algorithms in predicting (short term and long term prediction) the output power from photovoltaic (PV) system. During the execution of prediction, The Levenberg-Marquardt method was adopted and used for training. Comparison results reveals that NARNET and NARX neural network are both suitable for performing PV output power prediction, but NARX was found to be more accurate. NARNET best prediction result was achieved with MSE (Mean Square Errors) equal to 1.6153 and coefficient R equals to 0.47643 while for annual NARNET prediction model, the MSE and R were found to be equals to 0.84891 and 0.82244. For NARX monthly prediction model, the MSE and R were equal to 0.99206 and 0.53094 while for the case of NARX annual prediction model, the MSE and R were 0.8008 and 0.85248 respectively. The lower the MSE indicates few errors and the more R is close to unity indicates the better correlation and great relation between actual and predicted values.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116720107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194797
Junyi Tang, Ping Han, Dong Liu
Traditional machine learning algorithms are susceptible to many factors in the recognition of handwritten adhesion numbers, such as different people's digital writing habits, different degrees of adhesion, and low image quality, which could lead to lower digital recognition accuracy. To solve these problems, an improved convolutional neural network algorithm for handwritten adhesion digital recognition is proposed in this paper. First, an improved convolutional neural network model is provided for the large number of adhesion in handwritten digital pictures. Multilevel feature extraction is performed on the experimental images using convolution kernels of different scales, and then, the feature frame filtering algorithm is optimized to improve the recognition accuracy of handwritten adhesion numbers while enhancing the robustness of the neural network to background noise. The experimental results show that the average recognition accuracy of the improved convolution model on the experimental data set is 94%. The proposed algorithm reduces the parameter size with ensuring high recognition accuracy, and improves the recognition efficiency of the system, which is better than most state-of-the-art algorithms.
{"title":"Adhesive Handwritten Digit Recognition Algorithm Based on Improved Convolutional Neural Network","authors":"Junyi Tang, Ping Han, Dong Liu","doi":"10.1109/ICAIIS49377.2020.9194797","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194797","url":null,"abstract":"Traditional machine learning algorithms are susceptible to many factors in the recognition of handwritten adhesion numbers, such as different people's digital writing habits, different degrees of adhesion, and low image quality, which could lead to lower digital recognition accuracy. To solve these problems, an improved convolutional neural network algorithm for handwritten adhesion digital recognition is proposed in this paper. First, an improved convolutional neural network model is provided for the large number of adhesion in handwritten digital pictures. Multilevel feature extraction is performed on the experimental images using convolution kernels of different scales, and then, the feature frame filtering algorithm is optimized to improve the recognition accuracy of handwritten adhesion numbers while enhancing the robustness of the neural network to background noise. The experimental results show that the average recognition accuracy of the improved convolution model on the experimental data set is 94%. The proposed algorithm reduces the parameter size with ensuring high recognition accuracy, and improves the recognition efficiency of the system, which is better than most state-of-the-art algorithms.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121838479","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194823
Xiaopeng Qi, Kai Duan, Kuan Wang
As a key system for data acquisition in flight test, flight test data acquisition system collects data in various formats and integrates them into a unified PCM format. In order to realize the configuration management of test system effectively, a method of system configuration management is proposed that is based on modular design. According to different data formats, this paper defines the configuration management information of data and the data fusion standard of PCM. The configuration information structure of XML engineering is defined. Besides, the configuration management information of each module is converted into XML management file and CFG binary configuration file, which realizes the comprehensive configuration management of the test system.
{"title":"Design of module - based test system configuration management system","authors":"Xiaopeng Qi, Kai Duan, Kuan Wang","doi":"10.1109/ICAIIS49377.2020.9194823","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194823","url":null,"abstract":"As a key system for data acquisition in flight test, flight test data acquisition system collects data in various formats and integrates them into a unified PCM format. In order to realize the configuration management of test system effectively, a method of system configuration management is proposed that is based on modular design. According to different data formats, this paper defines the configuration management information of data and the data fusion standard of PCM. The configuration information structure of XML engineering is defined. Besides, the configuration management information of each module is converted into XML management file and CFG binary configuration file, which realizes the comprehensive configuration management of the test system.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133462486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194830
Wu Yu, Yin Ming, Ma Huai-yu
Aerospace embedded software is very complex, large-scale and highly reliable, so it is very important to measure the reliability of aerospace embedded software. Based on the analysis of the characteristics of aerospace embedded software, the reliability evaluation of aerospace embedded software based on the Delayed S-Shaped model is carried out. The data set similar to the characteristics of aerospace embedded software is selected to verify the predictive ability of the model. The experimental results show that the aerospace embedded software reliability measurement model can obtain a good fitting effect.
{"title":"Study on Reliability Measurement Model of Aerospace Embedded Software","authors":"Wu Yu, Yin Ming, Ma Huai-yu","doi":"10.1109/ICAIIS49377.2020.9194830","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194830","url":null,"abstract":"Aerospace embedded software is very complex, large-scale and highly reliable, so it is very important to measure the reliability of aerospace embedded software. Based on the analysis of the characteristics of aerospace embedded software, the reliability evaluation of aerospace embedded software based on the Delayed S-Shaped model is carried out. The data set similar to the characteristics of aerospace embedded software is selected to verify the predictive ability of the model. The experimental results show that the aerospace embedded software reliability measurement model can obtain a good fitting effect.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134308627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194915
Xusheng Gan, Yarong Wu, Pingni Liu, Qian Wang
In order to satisfy the flight safety early warning requirements of UAV to the greatest extent and improve the safety and reliability of UAV operating in mixed airspace, with reference to flight interval standards, a cylinder static protection zone model of UAV is constructed to detect the flight conflict trend and near midair collision trend between UAV and intruder, and then a dynamic collision avoidance zone modeling method based on emergency collision avoidance trajectory of UAV in three-dimensional space is proposed to delineat the dynamic collision avoidance zone for detecting the collision trend of two-aircrafts. The simulation results show the effectiveness of the method.
{"title":"Dynamic Collision Avoidance Zone Modeling Method Based on UAV Emergency Collision Avoidance Trajectory","authors":"Xusheng Gan, Yarong Wu, Pingni Liu, Qian Wang","doi":"10.1109/ICAIIS49377.2020.9194915","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194915","url":null,"abstract":"In order to satisfy the flight safety early warning requirements of UAV to the greatest extent and improve the safety and reliability of UAV operating in mixed airspace, with reference to flight interval standards, a cylinder static protection zone model of UAV is constructed to detect the flight conflict trend and near midair collision trend between UAV and intruder, and then a dynamic collision avoidance zone modeling method based on emergency collision avoidance trajectory of UAV in three-dimensional space is proposed to delineat the dynamic collision avoidance zone for detecting the collision trend of two-aircrafts. The simulation results show the effectiveness of the method.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"360 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115901742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The intelligent regulation and control strategies for rice and wheat combine harvesters' operation are lacking and the rule of parameter matching is fuzzy in China, around these issues, the dynamic correlation control law among the parameters of rice and wheat, cleaning operation parameters of combine harvesters, the cleaning loss rate and impurity rate are studied, and so on. The intelligent control model for the rice and wheat combine harvester is established based on case-based reasoning. According to different rice and wheat varieties, water content and other rice and wheat properties, the control scheme of cleaning fan speed, air distributor plate angle and upper sieve opening with low cleaning impurity rate and cleaning loss rate is provided. Through the development of web-based cleaning intelligent control expert system and conduct experimental evaluation, the feasibility and effectiveness of the case-based reasoning method in the intelligent control filed of rice and wheat combine harvesters is verified.
{"title":"Study of a Cleaning Intelligent Control System for Rice and Wheat Combine Harvester","authors":"Jiang Qing, Xiao Zhengxing, Zhong Jinglei, Zhao Yude, Huang He, Zhang Zhengyong, Wang Rujin","doi":"10.1109/ICAIIS49377.2020.9194934","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194934","url":null,"abstract":"The intelligent regulation and control strategies for rice and wheat combine harvesters' operation are lacking and the rule of parameter matching is fuzzy in China, around these issues, the dynamic correlation control law among the parameters of rice and wheat, cleaning operation parameters of combine harvesters, the cleaning loss rate and impurity rate are studied, and so on. The intelligent control model for the rice and wheat combine harvester is established based on case-based reasoning. According to different rice and wheat varieties, water content and other rice and wheat properties, the control scheme of cleaning fan speed, air distributor plate angle and upper sieve opening with low cleaning impurity rate and cleaning loss rate is provided. Through the development of web-based cleaning intelligent control expert system and conduct experimental evaluation, the feasibility and effectiveness of the case-based reasoning method in the intelligent control filed of rice and wheat combine harvesters is verified.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134079833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194819
Wen-Bing Song
Unmanned system (UAS) is a new type of payload, which carry the perceptive communication processing and decision-making device. Navigation system, as an important part of the unmanned system, which lead to low accuracy by GPS and vision navigation insufficient features. To solve these problems, we propose an integrated GPS/vision UAV navigation system based on Kalman filter. First, we studied the basic theory of integrated navigation and smoothing processing, introduced the knowledge of combined navigation and path smoothing, and analyzed the problems of integrated UAV navigation technology in real application. Based on Kalman filter algorithm, we design the GPS and vision fusion navigation scheme and optimize the UAV navigation path. Finally, the performance improvement of the algorithm in positioning accuracy was verified using MATLAB simulation.
{"title":"An integrated GPS/vision UAV navigation system based on Kalman filter","authors":"Wen-Bing Song","doi":"10.1109/ICAIIS49377.2020.9194819","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194819","url":null,"abstract":"Unmanned system (UAS) is a new type of payload, which carry the perceptive communication processing and decision-making device. Navigation system, as an important part of the unmanned system, which lead to low accuracy by GPS and vision navigation insufficient features. To solve these problems, we propose an integrated GPS/vision UAV navigation system based on Kalman filter. First, we studied the basic theory of integrated navigation and smoothing processing, introduced the knowledge of combined navigation and path smoothing, and analyzed the problems of integrated UAV navigation technology in real application. Based on Kalman filter algorithm, we design the GPS and vision fusion navigation scheme and optimize the UAV navigation path. Finally, the performance improvement of the algorithm in positioning accuracy was verified using MATLAB simulation.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134431226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194883
Enyu Xu, X. He
This paper introduces a low-dropout linear regulator with an operating voltage of 2.5V. An anti-overshoot circuit is added to the error amplifier, and the regulator module is optimized based on circuit stability performance; Add trim function to feedback resistance network so that LDO can output different voltage values such as 1.1V, 1.8V and 2.2V according to various needs. The circuit is simulated by Cadence based on HLMC 40nm CMOS process. The results show that the LDO has a minimum rejection ratio of −35dB and a maximum of −56dB.
{"title":"Design of a Low-Dropout Linear Regulator","authors":"Enyu Xu, X. He","doi":"10.1109/ICAIIS49377.2020.9194883","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194883","url":null,"abstract":"This paper introduces a low-dropout linear regulator with an operating voltage of 2.5V. An anti-overshoot circuit is added to the error amplifier, and the regulator module is optimized based on circuit stability performance; Add trim function to feedback resistance network so that LDO can output different voltage values such as 1.1V, 1.8V and 2.2V according to various needs. The circuit is simulated by Cadence based on HLMC 40nm CMOS process. The results show that the LDO has a minimum rejection ratio of −35dB and a maximum of −56dB.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134519958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-03-01DOI: 10.1109/ICAIIS49377.2020.9194860
Ni Li, Guozhu Ma, Hongxia Sun, Ting Zhao
Under the situation of rapid increase in business, IMS Technology is introduced into the power exchange network. The deep integration of business and control saves the physical space of exchange in volume. The data from different business terminals are gathered on the unified platform by adopting the consistent SIP exchange protocol. It is often encountered that the business concurrent demand is greater than the system capacity, resulting in the failure of the session process execution. In this paper, we propose a solution based on business characteristics to deal with session conflicts, explore IMS business triggering mechanism and process, and find its limitations. According to the different characteristics of business triggering, set up the business conflict resolution scheme, which can predict the concurrent conflict of multiple sessions before it occurs. It start the conflict prevention scheme on demand in time, and use the exchange resources on demand on the premise of meeting the business needs to the maximum. The research method proposed in this paper is to provide a better solution to practical problems in the era of power grid information explosion.
{"title":"Research on the solution of service conflict based on service characteristics in power exchange network convergence","authors":"Ni Li, Guozhu Ma, Hongxia Sun, Ting Zhao","doi":"10.1109/ICAIIS49377.2020.9194860","DOIUrl":"https://doi.org/10.1109/ICAIIS49377.2020.9194860","url":null,"abstract":"Under the situation of rapid increase in business, IMS Technology is introduced into the power exchange network. The deep integration of business and control saves the physical space of exchange in volume. The data from different business terminals are gathered on the unified platform by adopting the consistent SIP exchange protocol. It is often encountered that the business concurrent demand is greater than the system capacity, resulting in the failure of the session process execution. In this paper, we propose a solution based on business characteristics to deal with session conflicts, explore IMS business triggering mechanism and process, and find its limitations. According to the different characteristics of business triggering, set up the business conflict resolution scheme, which can predict the concurrent conflict of multiple sessions before it occurs. It start the conflict prevention scheme on demand in time, and use the exchange resources on demand on the premise of meeting the business needs to the maximum. The research method proposed in this paper is to provide a better solution to practical problems in the era of power grid information explosion.","PeriodicalId":416002,"journal":{"name":"2020 IEEE International Conference on Artificial Intelligence and Information Systems (ICAIIS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117106359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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