Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Simulation (135)
- Path planning (76)
- Genetic algorithm (48)
- Deep learning (46)
- Digital twin (46)
-
- Numerical simulation (45)
- Virtual reality (42)
- Multi-objective optimization (40)
- Modeling and simulation (39)
- Particle swarm optimization (35)
- Reinforcement learning (35)
- Modeling (33)
- Fault diagnosis (29)
- Attention mechanism (28)
- Deep reinforcement learning (28)
- UAV (26)
- Neural network (25)
- Simulation model (25)
- System simulation (24)
- Complex network (22)
- System dynamics (21)
- Virtual simulation (21)
- Visualization (21)
- DRL (20)
- Optimization (19)
- Trajectory planning (19)
- Multi-agent (18)
- Parameter identification (17)
- Permanent magnet synchronous motor (17)
- Traffic simulation (17)
- Publication Year
Articles 2251 - 2280 of 3924
Full-Text Articles in Entire DC Network
Simulation Analysis Of Virtual Platform Of Close-Coupling Multiple Robots Combined Lifting System, Su Cheng, Yanlin Wang, Jitao Liu, Zhigang Zhao
Simulation Analysis Of Virtual Platform Of Close-Coupling Multiple Robots Combined Lifting System, Su Cheng, Yanlin Wang, Jitao Liu, Zhigang Zhao
Journal of System Simulation
Abstract: A framework of virtual simulation platform of close-coupling multiple robots combined lifting system was constructed. The model of the multiple robots system was established based on UG. The mathematical model of the mobile robot and the static equilibrium equation of the operated object was established. A collaborative control simulation system was set up based on ADAMS and MATLAB closed loop. In close-coupling multiple robots combined lifting system, according to two different trajectory planning, calculating draw of the mathematical model and the co-simulation model output curves were compared and analyzed to verify the correctness of the mathematical model of the …
Fault Spatial-Temporal Detecting And Diagnosis For Power Grid Based On Wavelet Analysis, Li Gang, Pengcheng Xu, Longmei Han
Fault Spatial-Temporal Detecting And Diagnosis For Power Grid Based On Wavelet Analysis, Li Gang, Pengcheng Xu, Longmei Han
Journal of System Simulation
Abstract: The monitoring data of modern power system have strong intrinsic relationship and its abnormal and fault signal is often hidden in big data sets, so the traditional Fourier transform analysis methods don't have the ability of time domain localization analysis. A new method based on time-frequency characteristics of wavelet analysis was proposed for singularity detection of transient signals in power system, which through decomposing the multi-scale one-dimensional transient signal wavelet, extracted high frequency and low frequency coefficient, and got fault time information while the signal de-noising; then based on the singularity detection of modulus maxima, the fault location information …
Attitude Control Of Vtol Hexrotor Aircraft Based On Lyapunov Theory, Xuemin Yuan, Kecai Cao
Attitude Control Of Vtol Hexrotor Aircraft Based On Lyapunov Theory, Xuemin Yuan, Kecai Cao
Journal of System Simulation
Abstract: The considered hexrotor is a symmetric VTOL-UAV with six rigid mono-directional propellers, and the interval between each propeller is 60°. In order to overcome the inherent geometric singularity of Euler angle description, quaternion representation was used to model. The effect of gyroscopic torques and reactive torques was taken into account when simplifying our model. An approach for hexrotor was proposed in which two nearly equivalent control laws were used to obtain asymptotic stability of attitude angles and attitude angular velocity of the hexrotor UAV. Simulation results emphasize the effectiveness of the proposed control scheme.
Improved Anonymous Communication Protocol Based On Crowds, Gaofeng He, Chen Lu, Zhang Tao, Yuanyuan Ma
Improved Anonymous Communication Protocol Based On Crowds, Gaofeng He, Chen Lu, Zhang Tao, Yuanyuan Ma
Journal of System Simulation
Abstract: The Crowds system is effective and practical, however there are two deficiencies: intermediate nodes can know receivers’ identities and there is no upper bound for the route length. To address the deficiencies mentioned above, an improved anonymous communication protocol is proposed. The new protocol is based on Crowds, while it is added with more designs of Pseudo receiver and Max-Min route length. Pseudo receivers’ addresses substitutes as receivers’ in packets to prevent intermediate nodes getting receivers’ identities; Users can decide max and min route length to limit the route length and meet the anonymity demand. By comparing the …
Pinning Control For Synchronization Of Hr Biological Neural Networks:Linear Active Disturbance Rejection Approach, Wei Wei, Wen Jiao
Pinning Control For Synchronization Of Hr Biological Neural Networks:Linear Active Disturbance Rejection Approach, Wei Wei, Wen Jiao
Journal of System Simulation
Abstract: Synchronization of a complex network whose nodes are Hindmarsh-Rose biological neurons was considered. Coupling strengths of the whole network were always taken as the tuning variables. However, coupling strengths may not be changeable. In addition, synchronization was affected by different disturbances. In view of above factors, pinning control was utilized and linear active disturbance rejection control (LADRC) was designed. By this approach, synchronization was achieved in according to synchronization errors of the controlled nodes and the couplings among nodes. In the simulations, coupling strength was fixed at a relative small value, and no external disturbance case …
Simulation Analysis Of Load Characteristic Of Thin Seam Shearer Drum, Lijuan Zhao, Tian Zhen, Xunan Liu, Xie Bo
Simulation Analysis Of Load Characteristic Of Thin Seam Shearer Drum, Lijuan Zhao, Tian Zhen, Xunan Liu, Xie Bo
Journal of System Simulation
Abstract: In order to analysis the load characteristics of thin seam shearer drum under complex geological conditions, the determination conditions of tooth working state were proposed, the drum load calculation scheme was designed according to the condition of coal seam and the working state of shearer. A thin seam shearer drum as the object of research, the load spectrums of drum under five typical working conditions were calculated, the law of cutting resistance moment and cutting power with different drum revolution speed and haulage speed was analyzed. The results show that: the load fluctuation from cutting hard inclusions is …
Properties Of Terahertz Wave Propagation In Inhomogeneous Plasma Sheath, Jiang Jin, Changxing Chen, Wang Cheng, Ting Chen, Tianxiang Zhou, Yunfei Ling
Properties Of Terahertz Wave Propagation In Inhomogeneous Plasma Sheath, Jiang Jin, Changxing Chen, Wang Cheng, Ting Chen, Tianxiang Zhou, Yunfei Ling
Journal of System Simulation
Abstract: The communication blackout usually happens when the hypersonic vehicles voyage in the near space. According to the data provided by radio attenuation measurement C (RAM C) voyage experiment, two models of inhomogeneous plasma sheath were established after dividing the near space into two spatial layers to build two mathematical models. The principle of interaction between plasma and terahertz wave was analyzed through numerical calculation, getting the properties of terahertz wave propagation in plasma sheath. The simulation shows that the terahertz wave frequency band selected as communication frequency band used in near space can solve the problem of communication blackout. …
Modeling And Simulation On Influence Of Complex Network Nodes Based On Data Field In, Chenxi Shao, Xiaoqi Chen, Xingfu Wang, Fuyou Miao
Modeling And Simulation On Influence Of Complex Network Nodes Based On Data Field In, Chenxi Shao, Xiaoqi Chen, Xingfu Wang, Fuyou Miao
Journal of System Simulation
Abstract: Research on the influence of complex network nodes is an important part of data mining. Mining the influential nodes in complex networks not only has important academic significance, but also helps to suppress the outbreak of epidemics, control the spread of rumors, and promote e-commercial products and so on. By selecting the Mixed Degree Decomposition (MDD) value of each node as its mass, the complex network is abstracted into a data field, the influential nodes are identified by combining the data field model, and some well-known centralities are compares with. The classical Susceptible-Infected-Recovered (SIR) epidemic model is …
Foot Measurement Based On Deep Alignment Network, Shi Min, Hanqin Yao, Chunpeng Li, Liangchen Chen
Foot Measurement Based On Deep Alignment Network, Shi Min, Hanqin Yao, Chunpeng Li, Liangchen Chen
Journal of System Simulation
Abstract: Foot measurement plays an important role in many areas. Limited by equipment and algorithms, three-dimensional foot measurement cannot make a convenient and quick foot measurement. A method is proposed by combining the image measurement with the deep neural network. Based on the physiological structure analysis of foot, key points are extracted and the measurement parameters are defined. During the key point detection of foot, the activation function and loss function of DAN (Deep Alignment Network) model is optimized, and a data acquisition method is defined based on the handheld camera. Foot key points are detected, and main parameters are …
Mobile-Phone-Oriented Stereoscopic Display And Interaction Framework For Cloud-Based Virtual Reality 3d Scenes, Jiazhe Liu, Chunyi Chen, Xiaojuan Hu, Weidong Liang, Qiwei Xing, Huamin Yang
Mobile-Phone-Oriented Stereoscopic Display And Interaction Framework For Cloud-Based Virtual Reality 3d Scenes, Jiazhe Liu, Chunyi Chen, Xiaojuan Hu, Weidong Liang, Qiwei Xing, Huamin Yang
Journal of System Simulation
Abstract: A VR application framework based on cloud computing is proposed to overcome the difficulty of interactively generating high quality 3D scene images on mobile phones. We combine the cloud-based rendering and the VR technology. Our framework uses a mobile browser as a client, transmits the image data by the video block stream, processes the interactive data by the anti-jitter algorithm, and has accomplished the web-based lightweight rendering. The framework reduces the cost of data visualization on mobile phone and avoids the need of installing a plug-in package. The experimental results show that our display rate could be improved to …
Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li
Maintenance Operation Control Of Virtual Human In Collaborative Virtual Maintenance, Liang Feng, Zhili Zhang, Xiangyang Li
Journal of System Simulation
Abstract: Aiming at the operators being not able to move freely in the limited capture area of optical motion capture devices, the maintenance operation control of virtual human in Collaborative Virtual Maintenance is studied. The lower limb action of operators is captured by the optical motion capture devices, and the wide range motion of the virtual human is controlled according to the real-time recognition results. In order to control the hand motion process of the virtual human in the maintenance operation, the hand interaction of the virtual human is analyzed and an intelligent assistant method for the maintenance operations based …
Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu
Simulation Research On Cooperative Control Of Multi Intelligent Ground Platform Based On Agent Theory, Yunrong Zhang, Zhili Zhang, Xiangyang Li, Hongguang Wang, Wenpeng Mi, Xiangtong Kong, Pengpeng Liu
Journal of System Simulation
Abstract: In order to improve the cooperative control ability of the multi Intelligent ground platform and to adapt to the trend of intelligent war in the new situation, a multi intelligent ground platform cooperative Control simulation system based on jade and world wind Java is constructed. Based on multi-agent theory, the simulation model of intelligent ground platform is build. Based on JADE, the cooperative Control simulation platform is constructed. The task allocation mechanism is optimized by the particle swarm optimization algorithm. The simulation results show that the cooperative Control simulation platform has good robustness and flexibility. The optimized task allocation …
A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang
A Survey On Visual Slam Based On Deep Learning, Ruijun Liu, Xiangshang Wang, Zhang Chen, Bohua Zhang
Journal of System Simulation
Abstract: Following the development of computer vision and robotics, visual Simultaneous Localization and Mapping becomes a research focus in the field of unmanned systems. The powerful advantages of deep learning in the image processing offer a huge opportunity to the wide combination of the two fields. The outstanding research achievements of deep learning combined with visual odometry, loop closure detection and semantic Simultaneous Localization and Mapping are summarized. A comparison between the traditional algorithm and method based on deep learning is carried out. The development direction of visual Simultaneous Localization and Mapping based on deep learning is …
Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu
Visual Tracking And Localization Based On Confidence Evaluation Of Adjacent Targets, Youquan Liu, Pei Xue, Li Wan, Zhengxiong Liu
Journal of System Simulation
Abstract: In visual target tracking and localization, the target could not be located due to the lack of features or the severe occlusion. Aiming at this, an algorithm based on confidence evaluation of neighboring targets is designed. In the tracking process, by detecting and extracting the marker features of neighboring targets, and combining the Hamming distance of each feature marker and the normalized result with respect to other markers as well as the probability of occurrence of each marker, the final confidence of each marker is obtained. The marker with the maximum confidence is to used determine the target …
Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo
Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo
Journal of System Simulation
Abstract: An interactive technique that can generate the Dongba art paintings from 2D images is proposed. A Dongba painting line drawing system is designed and developed which adopts the interactive selection method to obtain the smooth and continuous line drawings. To produce the foreground image of the Dongba styles, a multi-frequency noise integral convolution algorithm is utilized to simulate the block texture color of the Dongba paintings. Texture synthesis algorithm is used to generate the image of large sizes from samples to simulate the background image. Based on the layer-mapping technique and local color transmission methods, the final artistic style …
Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong
Mrmark: A Machine Performance Evaluation Method For Three-Dimensional Video Fusion, Yifei Sun, Liangliang Cai, Zhou Yi, Zhou Zhong
Journal of System Simulation
Abstract: The three-dimensional video fusion system needs the calculation of video and graphics, and requires high machine performance. The existing commercial evaluation tools lack the corresponding considerations, which may cause the inconsistency of a machine's performance from the score. A machine performance evaluation method for three-dimensional video fusion is proposed and an evaluation tool MRMark is implemented. Several sets of standard 3D test scenes are designed according to the characteristics of the video fusion system, the statistics on the frame rate, the number of video channels played and the other parameters during the test are collected to calculate the …
Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei
Research On Highway Bim Perception And Engineering Evaluation Based On Virtual Reality, Zhaohui Wu, Zhiqiang Fu, Wang Liang, Dou Fei
Journal of System Simulation
Abstract: Virtual reality technology is a new way for the highway BIM to upgrade from 2D to 3D. Based on the analysis of the characteristics of highway engineering and the travel needs of traffic participants, five methods are proposed to perceive highway BIM and evaluate the engineering design results of different road users, including virtual driving, virtual flight, virtual riding, virtual walking and augmented reality. These methods provide technical and tool support for the people-oriented road BIM perception, engineering evaluation, collaborative work, and design optimization. The experiment tests show that virtual reality connects the BIM models with human perception, …
Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong
Icp Optimized B-Spline Non-Rigid Registration For 4d-Ct Images, Wenjie Tang, Ruotong Li, Xuesong Deng, Weixin Si, Wang Qiong
Journal of System Simulation
Abstract: In order to improve the accuracy and speed of registration between two groups of 4D-CT images under different physiological activities, based on FFD model of multi-resolution B-spline, a registration algorithm using ICP to optimize the model is proposed. The ICP algorithm is added before the traditional b-spline to realize the point cloud registration between two groups of 4D-CT images: the appropriate model is generated from the two segmented groups of 4D-CT images, then the two groups of point clouds in the model are registered with ICP. The improvement rates of similarity measurement at level 1, level 2 and …
Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan
Simulation Reach On Multi-Generation Digital Product Diffusion Based On Agent, Qiao Jian, Jingwen Xia, Wang Pan
Journal of System Simulation
Abstract: Digital products have the characteristics of multi-generation coexistence and diffusion, and the multi-generation product diffusion model is an important tool to study it. The existing models ignores some factors of the product, consumer and environment that significantly affect the diffusion process. A multi-generation digital product diffusion model is proposed by using the ABMS, fuzzy inference, complex network and utility theories. The experiment results show that the model can playback the diffusion process of iPhones, which indicates that the model has a good simulation/prediction capability when the historical data is sufficient, and can be a marketing analysis and decision-making …
Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min
Learning Expression Recognition Based On Image Sequence, Suqin Wang, Zhang Feng, Yudou Gao, Shi Min
Journal of System Simulation
Abstract: By recognizing the facial expressions, the emotional state of learner can be judged and their learning effect can be analyzed. Due to the persistence and timing of facial expressions, the sequence of facial images is adopted as the object of facial expression recognition. The Long Short Term Memory Network (LSTM) and VGGNet are combined into a VGGNET-LSTM model. On this basis, facial expression recognition is carried out, which significantly improves the accuracy of recognition. Based on the transfer learning method, VGGNet is transferred to the learning expression data set after being pre-trained through the basic expression data set CK+ …
An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang
An Adaptable Vr Software Framework For Collaborative Multi-Modal Haptic And Immersive Visual Display, Guo Yuan, Qianqian Tong, Yukai Zheng, Ziqi Wang, Yuru Zhang, Dangxiao Wang
Journal of System Simulation
Abstract: The spatiotemporal consistency of multi-modal haptic and immersive visual feedback, as well as the integration of hardware devices in the existing VR software framework, restricts the rapid development of visuo-haptic fusion scenarios in different industries such as medical, business, and entertainment. In order to tackle this problem, an adaptable VR software framework combining multi-modal haptic and immersive visual display is proposed. To meet the different requirements of visual rendering, haptic rendering and hardware control, the double-layer and three-layer architectures are devised according to the different precision requirements of visuo-haptic fusion feedback. Experimental results show that the framework has the …
Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan
Review On Finite Element Model For Anti-Riot Kinetic Projectile Thorax Blunt Impact, Wang Song, Renjun Zhan
Journal of System Simulation
Abstract: In order to promote the construction and verification of the finite element models of human thorax and non-lethal projectiles in the field of blunt ballistic impact, the detailed anatomical and analogous structures of the thorax finite element models are combed and five typical of them are compared and verified. The construction and verification methods of the typical non-lethal projectile models are refined and the impact injury assessment methods are summarized. The next research recommendations are given. In order to improve the accuracy and biological fidelity of the thorax model, it is necessary to establish the physical and finite …
Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang
Real-Time Leaf Recognition Method Based On Cnn Network And Multi-Task Loss Function, Xingquan Cai, Yuxin Tu, Yakun Ge, Zhe Yang
Journal of System Simulation
Abstract: Aiming at the problems that the traditional leaf recognition is susceptible to the environmental interference and is difficult to realize the multi-leaf real-time recognition in complex background, a real-time leaf recognition method based on CNN network and multi-task loss function is proposed. The CNN network is used to the extract image feature maps and input them into RPN network to generate regional proposals. On the basis of the feature maps and region proposals, the feature map is proposaled, the leaf classification and bounding box regression are performed respectively, and the leaf classification and position of the leaf prediction box …
Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu
Hyperspectral Image Anomaly Detection Based On Background Reconstruction, Xiaorui Song, Zou Ling, Lingda Wu, Wanpeng Xu
Journal of System Simulation
Abstract: In the anomaly detection of hyperspectral images (HSIs), aiming at the difficulty of distinguishing the abnormal target from the background and the low accuracy of background prediction, a new HSI anomaly detection algorithm based on background sparse reconstruction is proposed. An online dictionary learning method is used to estimate the background spectral dictionary. The estimated background image is sparse reconstructed by the learning dictionary. The estimated background image is subtracted from the origin image to get the residual image. The anomaly detection is achieved by using the local RX detector to traverse the residual image. The effectiveness of the …
Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang
Human Depth Maps Restoration Based On Guided Gan, Jingfang Yin, Dengming Zhu, Shi Min, Zhaoqi Wang
Journal of System Simulation
Abstract: The depth maps captured by a small depth camera on mobile devices suffer from the problem of severe holes. The Guided Generative Adversarial Network (Guided GAN) based on deep learning is proposed to restore human depth maps with above problems. The high-precision human segmentation features and depth class features are extracted from the monocular RGB image by the guider based on the stacked hourglass network. The holes in the human depth maps are filled by the special generator under the guidance of the extracted human features. In order to get the more realistic results, the discriminator is introduced …
Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao
Modeling And Visualization On Scalar Fields Of Meteorological Data, Shuoben Bi, Yucheng Gong, Mingyue Lu, Zhou Hao, Yuanxiang Mao
Journal of System Simulation
Abstract: There are still many deficiencies in efficiency, interactivity, and accuracy in the visualization of meteorological scalar fields. Aiming at these problems, a display method based on multi-level volume rendering technology is proposed, which processes the spatial field data to form a three-dimensional space grid. Through the dynamic mapping between the scalar values and the color values and transparency, the three-dimensional dynamic visualization effect of the meteorological scalar data is realized. Aiming at the interpolation method for the traditional MC (Marching Cubes) algorithm being not applicable to the meteorological data, and the connection method having ambiguity problem, the improvement method …
A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan
A Survey On Graph Representation And Visualization Techniques, Chen Yi, Menglu Zhang, Yuchai Wan
Journal of System Simulation
Abstract: A graph consists of nodes and edges, and represents the relationship between two or more entities. Graph-based analysis can help understand the structure and nature of the entity relationships and reveal the implicit relationships in graphs. The representation and visualization methods of graphs play an important role in the graph analysis. In graph visualization research, the accuracy of knowledge transfer and people's mental map, etc. should be considered first, then the graphs beauty, the time requirement, and the computer performance. The graph representation methods, graph layout algorithms, visualization methods based on node-link-graphs, adjacency matrices, and graph embedding are reviewed, …
Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia
Preloading Mechanism Of Large-Scale Web3d Scene Based On Dr Prediction, Huijuan Zhang, Xinqi Guo, Dongqing Wang, Jinyuan Jia
Journal of System Simulation
Abstract: In order to improve the loading efficiency of large-scale Web3D scene, a mechanism based on DR prediction is proposed. It combines the DR track prediction algorithm and historical path-based interest path clustering algorithm to track the field. The medium path prediction and path clustering in the traffic domain are applied to the virtual scene loading field, and a preloading mechanism of the Web3D scene is proposed. Experiment results show that the preloading mechanism can significantly improve the data transmission efficiency, optimize the loading speed of large-scale Web3D scene, and effectively improve the roaming experience of users in Web3D scene. …
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong
Improved Cuckoo Search Algorithm Applied To Multi-Objective Optimization Of Crowd Evacuation, Chongjie Dong, Liu Yi, Peng Yong
Journal of System Simulation
Abstract: The crowd evacuation problem is a multi-objective optimization problem in large public places under the emergency, but because of the conflict between multiple objectives in multi-objective optimization problem, it is difficult to make the multiple targets achieve the optimal at the same time. The most popular solution is an evolution multi objective optimization algorithm for the characteristics of heuristic search of population and the partial order relation. Cuckoo search algorithm is a new search algorithm which was found in the behavior of cuckoo nest spawning lies, the basic cuckoo search algorithm is lack of vitality, and search is slow. …
Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai
Sliding Weighted Least Square Model For Short-Term Wind Power Prediction, Yanfeng Ge, Liang Peng, Liqun Gao, Junchang Zhai
Journal of System Simulation
Abstract: A new approach for wind power forecasting was proposed based on sliding window weighted recursive least squares for the defect of wind power short-term prediction in the traditional prediction methods. The historical data was weighted and the perturbation caused by the historical data was ruled out in this method, which focused on the current data on the result of prediction. This made the model have the adaptability to the change of the environment data. The harmony search algorithm was used to optimize the orders and the parameters of the predict model, which could improve the precision and accuracy of …