Eugenio Yime Rodríguez, Javier Roldán Mckinley, José Luis Villa Ramírez
This paper introduces the design, structure and control method of a five-bar planar mechanism with five revolute joints and two degrees of freedom. The control is realized by calculating the torque in the joint space to obtain the required trajectory. The direct and inverse kinematics of position and velocity are proposed, and the inverse kinematics of acceleration is taken as the parameter required by the control law. The method selected for this parallel robot is advantageous because it allows to obtain the dynamic equations similar to the traditional series robot modeling, which is helpful to the realization of nonlinear control technology. The effectiveness of the method and the functionality of the controller are verified by experiments, and a circular trajectory is generated by the actuator. Although the simulation results are consistent with the experimental results, it is suggested that the future work is to change the control strategy to compensate for the influence of the unmodeled system.
{"title":"Calculated Torque Control of a Planar Parallel Robot 2-RR","authors":"Eugenio Yime Rodríguez, Javier Roldán Mckinley, José Luis Villa Ramírez","doi":"10.32629/jai.v5i1.508","DOIUrl":"https://doi.org/10.32629/jai.v5i1.508","url":null,"abstract":"This paper introduces the design, structure and control method of a five-bar planar mechanism with five revolute joints and two degrees of freedom. The control is realized by calculating the torque in the joint space to obtain the required trajectory. The direct and inverse kinematics of position and velocity are proposed, and the inverse kinematics of acceleration is taken as the parameter required by the control law. The method selected for this parallel robot is advantageous because it allows to obtain the dynamic equations similar to the traditional series robot modeling, which is helpful to the realization of nonlinear control technology. The effectiveness of the method and the functionality of the controller are verified by experiments, and a circular trajectory is generated by the actuator. Although the simulation results are consistent with the experimental results, it is suggested that the future work is to change the control strategy to compensate for the influence of the unmodeled system.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45120328","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}
Carlos Eduardo Fernández-Riomalo, Héctor Andrés Guástar-Morillo, Ó. A. Vivas-Albán
This paper introduces the implementation of a virtual laparoscopic surgery simulator assisted by robot. This type of simulator requires three robots: an endoscope robot (Hibou robot in this case) and two surgical robots (Lapbot robot and PA-10 robot in this case). The three robots are operated by the joystick in cholecystectomy and included in the motion deformation algorithm, which modifies the organ to contact the end organ of robot PA-10, so as to make the simulator more realistic. This result provides a basis for laparoscopic surgery simulation using three auxiliary robots, which is an ideal method for training new surgeons.
{"title":"Design and Modeling of PA-10 Virtual Surgery Robot","authors":"Carlos Eduardo Fernández-Riomalo, Héctor Andrés Guástar-Morillo, Ó. A. Vivas-Albán","doi":"10.32629/jai.v5i1.507","DOIUrl":"https://doi.org/10.32629/jai.v5i1.507","url":null,"abstract":"This paper introduces the implementation of a virtual laparoscopic surgery simulator assisted by robot. This type of simulator requires three robots: an endoscope robot (Hibou robot in this case) and two surgical robots (Lapbot robot and PA-10 robot in this case). The three robots are operated by the joystick in cholecystectomy and included in the motion deformation algorithm, which modifies the organ to contact the end organ of robot PA-10, so as to make the simulator more realistic. This result provides a basis for laparoscopic surgery simulation using three auxiliary robots, which is an ideal method for training new surgeons.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44484848","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}
Data mining is a procedure of separating covered up, obscure, however possibly valuable data from gigantic data. Huge Data impactsly affects logical disclosures and worth creation. Data mining (DM) with Big Data has been broadly utilized in the lifecycle of electronic items that range from the structure and generation stages to the administration organize. A far reaching examination of DM with Big Data and a survey of its application in the phases of its lifecycle won't just profit scientists to create solid research. As of late huge data have turned into a trendy expression, which constrained the analysts to extend the current data mining methods to adapt to the advanced idea of data and to grow new scientific procedures. In this paper, we build up an exact assessment technique dependent on the standard of Design of Experiment. We apply this technique to assess data mining instruments and AI calculations towards structure huge data examination for media transmission checking data. Two contextual investigations are directed to give bits of knowledge of relations between the necessities of data examination and the decision of an instrument or calculation with regards to data investigation work processes.
{"title":"An Experimental Analysis of the Applications of Datamining Methods on Bigdata","authors":"Chittoju Naga Santhosh Kumar, K. Reddy","doi":"10.32629/jai.v2i2.59","DOIUrl":"https://doi.org/10.32629/jai.v2i2.59","url":null,"abstract":"Data mining is a procedure of separating covered up, obscure, however possibly valuable data from gigantic data. Huge Data impactsly affects logical disclosures and worth creation. Data mining (DM) with Big Data has been broadly utilized in the lifecycle of electronic items that range from the structure and generation stages to the administration organize. A far reaching examination of DM with Big Data and a survey of its application in the phases of its lifecycle won't just profit scientists to create solid research. As of late huge data have turned into a trendy expression, which constrained the analysts to extend the current data mining methods to adapt to the advanced idea of data and to grow new scientific procedures. In this paper, we build up an exact assessment technique dependent on the standard of Design of Experiment. We apply this technique to assess data mining instruments and AI calculations towards structure huge data examination for media transmission checking data. Two contextual investigations are directed to give bits of knowledge of relations between the necessities of data examination and the decision of an instrument or calculation with regards to data investigation work processes.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45765635","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}
Diego Manuel Dussán Muñoz, Enrique Bauzano Núñez, Oscar Andrés Vivas Albán
This paper introduces a natural interface for the movement of PA10 industrial robot and the implementation of its system. In order to evaluate the availability of these interfaces and the difference between the trajectory input by using its own development method and the trajectory executed by the robot, the mathematical model of PA10 robot is preliminarily established, and its motion is simulated in unity 3D graphics engine. Subsequently, the leap motion capture device is added as the main element of the natural interface, and tracks the movement of the user’s palm during the execution of various trajectories of the simulation software and the actual robot. The results show that the tracking error between the expected trajectory and the actual trajectory of PA10 robot is very small.
{"title":"PA10 Robot’s Movement Through Natural Interface","authors":"Diego Manuel Dussán Muñoz, Enrique Bauzano Núñez, Oscar Andrés Vivas Albán","doi":"10.32629/jai.v5i1.506","DOIUrl":"https://doi.org/10.32629/jai.v5i1.506","url":null,"abstract":" This paper introduces a natural interface for the movement of PA10 industrial robot and the implementation of its system. In order to evaluate the availability of these interfaces and the difference between the trajectory input by using its own development method and the trajectory executed by the robot, the mathematical model of PA10 robot is preliminarily established, and its motion is simulated in unity 3D graphics engine. Subsequently, the leap motion capture device is added as the main element of the natural interface, and tracks the movement of the user’s palm during the execution of various trajectories of the simulation software and the actual robot. The results show that the tracking error between the expected trajectory and the actual trajectory of PA10 robot is very small.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43162616","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 main purpose of this study is to plan and execute effective trajectory on the Delta robot through graphical user interface (GUI) and appropriate electronic circuits, and optimize the integration with the mechanical prototype designed and implemented by the robot laboratory of Nueva Granada Military University, while considering and respecting its different characteristics, such as mechanical structure, workspace, kinematics, dynamics and motion singularity allow the correct development and implementation of algorithms that can effectively describe and control the planned trajectory.
{"title":"Trajectory Planning and Execution of Delta Robot","authors":"Diego Édison Flórez Vergara, Fabián Camilo Castro Riveros, Ricardo Andrés Castillo Estepa","doi":"10.32629/jai.v5i1.505","DOIUrl":"https://doi.org/10.32629/jai.v5i1.505","url":null,"abstract":"The main purpose of this study is to plan and execute effective trajectory on the Delta robot through graphical user interface (GUI) and appropriate electronic circuits, and optimize the integration with the mechanical prototype designed and implemented by the robot laboratory of Nueva Granada Military University, while considering and respecting its different characteristics, such as mechanical structure, workspace, kinematics, dynamics and motion singularity allow the correct development and implementation of algorithms that can effectively describe and control the planned trajectory.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41828693","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}
In the past decade, the methods and technologies of artificial intelligence (AI) have made great progress. In many cases, they have become part of the usual landscape of solving new or old problems in different fields of human knowledge. In this progress, there are several aspects, especially three aspects: the availability and universality of data in many fields of human activities; a deeper understanding of the mathematics of the basic control algorithm; and the availability and capability of hardware and computing which allows a wide range and a large number of data experiments. Considering these aspects, the key challenge for each problem and application area is to understand how to use these technologies, to what extent they may reach, and what constraints need to be overcome in order to obtain beneficial results (in terms of production cost, value, etc.). This challenge includes identifying data sources and their integration and recovery requirements, the necessity and cost of acquiring or constructing tag data sets, volume data required for measurement, verifying its feasibility, technical method of data analysis task and its consistency with the final application goal, and social and communication sciences are no exception. The knowledge in these fields is related to artificial intelligence, but they do have particularities that define the most appropriate type of artificial intelligence technology and method (i.e. natural language processing). The successful use of AI technology in these disciplines involves not only technical knowledge, but also the establishment of a viable application environment, including the availability of data, the appropriate complexity of tasks to be performed, and verification procedures with experts in the field. This paper introduces the methodology of generating artificial intelligence model, summarizes the artificial intelligence methods and services most likely to be used in social and communication sciences, and finally gives some application examples to illustrate the practical and technical considerations in this regard.
{"title":"Perspectives and Challenges of AI Techniques in the Field of Social Sciences and Communication","authors":"Raúl Ramos Pollán","doi":"10.32629/jai.v5i1.504","DOIUrl":"https://doi.org/10.32629/jai.v5i1.504","url":null,"abstract":"In the past decade, the methods and technologies of artificial intelligence (AI) have made great progress. In many cases, they have become part of the usual landscape of solving new or old problems in different fields of human knowledge. In this progress, there are several aspects, especially three aspects: the availability and universality of data in many fields of human activities; a deeper understanding of the mathematics of the basic control algorithm; and the availability and capability of hardware and computing which allows a wide range and a large number of data experiments. Considering these aspects, the key challenge for each problem and application area is to understand how to use these technologies, to what extent they may reach, and what constraints need to be overcome in order to obtain beneficial results (in terms of production cost, value, etc.). This challenge includes identifying data sources and their integration and recovery requirements, the necessity and cost of acquiring or constructing tag data sets, volume data required for measurement, verifying its feasibility, technical method of data analysis task and its consistency with the final application goal, and social and communication sciences are no exception. The knowledge in these fields is related to artificial intelligence, but they do have particularities that define the most appropriate type of artificial intelligence technology and method (i.e. natural language processing). The successful use of AI technology in these disciplines involves not only technical knowledge, but also the establishment of a viable application environment, including the availability of data, the appropriate complexity of tasks to be performed, and verification procedures with experts in the field. This paper introduces the methodology of generating artificial intelligence model, summarizes the artificial intelligence methods and services most likely to be used in social and communication sciences, and finally gives some application examples to illustrate the practical and technical considerations in this regard.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46514143","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}
M. A. Gómez-Zuleta, Iego Fernando Cano-Rosales, Diego Fernando Bravo-Higuera, Josué André Ruano-Balseca, Eduardo Romero-Castro
Objective: to establish an automatic colonoscopy method based on artificial intelligence. Methods: a public database established by a university hospital was used, including colorectal fat and data collection. Initially, all frames in the video are normalized to reduce the high variability between databases. Then, the convolution neural network is used for full depth learning to complete the detection task of polyps. The network starts with the weights learned from millions of natural images in the ImageNet database. According to the fine-tuning technology, the colonoscopy image is used to update the network weight. Finally, the detection of polyps is performed by assigning the probability of containing Po ́ lipo to each table and determining the threshold defined when polyps appears in the table. Results: 1875 cases were collected from 5 public databases and databases established by university hospitals, with a total of 123046 forms. The method was trained and evaluated. Comparing the results with the scores of different colonoscopy experts, the accuracy was 0.77, the sensitivity was 0.89, the specificity was 0.71, and the ROC curve (re ceiver operation characteristics) was 0.87. Conclusion: compared with experienced gastrointestinal markers, this method overcomes the high variability of different types of lesions and different colonic light conditions (handle, folding or contraction), has very high sensitivity, and can reduce human errors, which is one of the main factors leading to the non detection or leakage of Po lipids in colonoscopy.
{"title":"Application of Artificial Intelligence Technology in Automatic Detec-tion of large Intestine Polyps","authors":"M. A. Gómez-Zuleta, Iego Fernando Cano-Rosales, Diego Fernando Bravo-Higuera, Josué André Ruano-Balseca, Eduardo Romero-Castro","doi":"10.32629/jai.v4i2.503","DOIUrl":"https://doi.org/10.32629/jai.v4i2.503","url":null,"abstract":"Objective: to establish an automatic colonoscopy method based on artificial intelligence. Methods: a public database established by a university hospital was used, including colorectal fat and data collection. Initially, all frames in the video are normalized to reduce the high variability between databases. Then, the convolution neural network is used for full depth learning to complete the detection task of polyps. The network starts with the weights learned from millions of natural images in the ImageNet database. According to the fine-tuning technology, the colonoscopy image is used to update the network weight. Finally, the detection of polyps is performed by assigning the probability of containing Po ́ lipo to each table and determining the threshold defined when polyps appears in the table. Results: 1875 cases were collected from 5 public databases and databases established by university hospitals, with a total of 123046 forms. The method was trained and evaluated. Comparing the results with the scores of different colonoscopy experts, the accuracy was 0.77, the sensitivity was 0.89, the specificity was 0.71, and the ROC curve (re ceiver operation characteristics) was 0.87. Conclusion: compared with experienced gastrointestinal markers, this method overcomes the high variability of different types of lesions and different colonic light conditions (handle, folding or contraction), has very high sensitivity, and can reduce human errors, which is one of the main factors leading to the non detection or leakage of Po lipids in colonoscopy.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46036049","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}
Forecasts are an effective decision-making tool, mainly in the dairy industry, because they help improve herd management, save farm energy and optimize long-term capital investment. The application of artificial intelligence technology to predict milk yield is a subject of concern in the scientific community. However, defining a technology or model to predict the effective performance of these products in different environments is a challenging and complex activity, because none of them is accurate in all scenarios. This study compared the application of artificial intelligence technology in milk yield prediction in the literature, and applied analytic hierarchy process to select the most suitable artificial intelligence technology for milk yield prediction. Methods comprehensive analysis, investigation and experiment were used. The results show that the artificial intelligence technology based on artificial neural network is more suitable for the prediction of milk yield than decision tree and support vector machine. In the field of milk production, the most relevant selection criteria are identified as the ability of these technologies to process uncertain data and their ability to obtain accurate results in the best way. The analysis carried out supports the decision-making of milk production organization.
{"title":"Comparison and Selection of Artificial Intelligence Technology in Predicting Milk Yield","authors":"Rudibel Perdigón Llanes, Neilys González Benítez","doi":"10.32629/jai.v4i2.502","DOIUrl":"https://doi.org/10.32629/jai.v4i2.502","url":null,"abstract":"Forecasts are an effective decision-making tool, mainly in the dairy industry, because they help improve herd management, save farm energy and optimize long-term capital investment. The application of artificial intelligence technology to predict milk yield is a subject of concern in the scientific community. However, defining a technology or model to predict the effective performance of these products in different environments is a challenging and complex activity, because none of them is accurate in all scenarios. This study compared the application of artificial intelligence technology in milk yield prediction in the literature, and applied analytic hierarchy process to select the most suitable artificial intelligence technology for milk yield prediction. Methods comprehensive analysis, investigation and experiment were used. The results show that the artificial intelligence technology based on artificial neural network is more suitable for the prediction of milk yield than decision tree and support vector machine. In the field of milk production, the most relevant selection criteria are identified as the ability of these technologies to process uncertain data and their ability to obtain accurate results in the best way. The analysis carried out supports the decision-making of milk production organization.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42935601","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}
With the increase of information exchange types and the acceleration of information exchange speed, people not only pursue fast and efficient interaction effect, but also begin to pursue natural and harmonious human-computer interaction comfort experience physically and psychologically. Therefore, human perceived comfort has become an important index in the design of modern human-computer interaction system. However, since comfort is the subjective feeling of human body, it is difficult to realize quantitative measurement and evaluation in the design process, which brings great difficulties to computer intelligent human-computer interaction design and scientific evaluation. Vision is the most important sense of human beings. More than 80% of all kinds of information received by people from the outside world is obtained through vision. Vision is an important means of human-computer interaction in complex multi-dimensional information space, and it is also the most intuitive source and effect embodiment of human comfort perception. Through a large number of experiments, import the test data into the software Origin, and draw the change curve of visual comfort with reading time, which fit with the S-shaped curve as the reference. In this way, the relationship between visual comfort and reading time can be obtained. The mathematical model of the relationship between reading time and visual comfort is established, and experiments are carried out to verify the corresponding mathematical model relationship.
{"title":"Research on Key Methods of Visual Human-computer Interaction Comfort Quantifacation in Multidimensional Information Space","authors":"Wen Lv, Wenke Kang","doi":"10.32629/jai.v4i2.495","DOIUrl":"https://doi.org/10.32629/jai.v4i2.495","url":null,"abstract":"With the increase of information exchange types and the acceleration of information exchange speed, people not only pursue fast and efficient interaction effect, but also begin to pursue natural and harmonious human-computer interaction comfort experience physically and psychologically. Therefore, human perceived comfort has become an important index in the design of modern human-computer interaction system. However, since comfort is the subjective feeling of human body, it is difficult to realize quantitative measurement and evaluation in the design process, which brings great difficulties to computer intelligent human-computer interaction design and scientific evaluation. Vision is the most important sense of human beings. More than 80% of all kinds of information received by people from the outside world is obtained through vision. Vision is an important means of human-computer interaction in complex multi-dimensional information space, and it is also the most intuitive source and effect embodiment of human comfort perception. Through a large number of experiments, import the test data into the software Origin, and draw the change curve of visual comfort with reading time, which fit with the S-shaped curve as the reference. In this way, the relationship between visual comfort and reading time can be obtained. The mathematical model of the relationship between reading time and visual comfort is established, and experiments are carried out to verify the corresponding mathematical model relationship.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44837217","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}
Ibargüengoytia-González Pablo Héctor, Reyes Alberto, Borunda-Pacheco Mónica, García-López Uriel Alejandro
In view of the continuous growth of energy demand and interest in environmental protection, the use of clean energy to replace fossil fuels is a global trend. Wind energy is the fastest growing renewable energy in the world in recent years. However, in the case of Mexico, there are still some difficulties in promoting its use in some areas of the national territory. One difficulty is knowing in advance how much energy can be injected into the grid. This paper introduces the development of artificial intelligence technology for wind power generation prediction based on multi-year meteorological information. In particular, the potential application of Bayesian network in these prediction applications is studied in detail. A weather forecasting method based on Dynamic Bayesian network (RBD) is proposed. The forecasting system was tested using meteorological data from the regional wind energy technology center (CERT) of the National Institute of Electricity and Clean Energy (INEEL) in Oaxaca, Mexico. The results are compared with the time series prediction results. The results show that dynamic Bayesian network is a promising wind power generation prediction tool.
{"title":"Prediction of Wind Power Generation with Modern Artificial Intelli-gence Technology","authors":"Ibargüengoytia-González Pablo Héctor, Reyes Alberto, Borunda-Pacheco Mónica, García-López Uriel Alejandro","doi":"10.32629/jai.v4i2.501","DOIUrl":"https://doi.org/10.32629/jai.v4i2.501","url":null,"abstract":"In view of the continuous growth of energy demand and interest in environmental protection, the use of clean energy to replace fossil fuels is a global trend. Wind energy is the fastest growing renewable energy in the world in recent years. However, in the case of Mexico, there are still some difficulties in promoting its use in some areas of the national territory. One difficulty is knowing in advance how much energy can be injected into the grid. This paper introduces the development of artificial intelligence technology for wind power generation prediction based on multi-year meteorological information. In particular, the potential application of Bayesian network in these prediction applications is studied in detail. A weather forecasting method based on Dynamic Bayesian network (RBD) is proposed. The forecasting system was tested using meteorological data from the regional wind energy technology center (CERT) of the National Institute of Electricity and Clean Energy (INEEL) in Oaxaca, Mexico. The results are compared with the time series prediction results. The results show that dynamic Bayesian network is a promising wind power generation prediction tool.","PeriodicalId":70721,"journal":{"name":"自主智能(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43416890","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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