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检索条件"主题词=K-means Clustering algorithm"
398 条 记 录,以下是271-280 订阅
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Offering Strategy for a Photovoltaic Power Plant in Electricity Market
Offering Strategy for a Photovoltaic Power Plant in Electric...
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IEEE Power and Energy Conference at Illinois (PECI)
作者: Saranya, A. Swarup, k. Shanti Indian Inst Technol Madras Elect Engn Dept Chennai Tamil Nadu India
With the large-scale manufacturing and production, the per-unit cost of energy from photovoltaic modules have decreased, and the incentives given by the governments are slowly withdrawn. Consequently, the photovoltaic... 详细信息
来源: 评论
Photovoltaic Power Prediction Model Based on Weather Forecast
Photovoltaic Power Prediction Model Based on Weather Forecas...
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Sustainable Power and Energy Conference (iSPEC)
作者: Wei Huang Chao Zhang Xinhe Zhang Junxia Meng Xiaohua Liu Bo Yuan China Electric Power Research Institute Beijing China Xinjiang Electric Power Company Wulumuqi China
In order to improve the accuracy of PV power generation forecasting, this paper proposes a photovoltaic power generation prediction model combined with weather forecast. In this paper, the k-means clustering algorithm... 详细信息
来源: 评论
A Method of Automatically Identifying Learners' help-seeking Behavior Classifications in Online Learning Environment  2
A Method of Automatically Identifying Learners' help-seeking...
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2nd International Conference on Data Science and Business Analytics (ICDSBA)
作者: Ye, Junmin Zhao, Lixian Luo, Daxiong Wang, Zhifeng Chen, Shu CCNU Sch Comp Wuhan Hubei Peoples R China CCNU Sch Educ Informat Technol Wuhan Hubei Peoples R China
In the online learning environment, identifying learners' behaviors in the learning process can help them improve their learning effect autonomously. Firstly, we use k-means algorithm to cluster the learner's ... 详细信息
来源: 评论
Impact of typical demand day selection on CCHP operational optimization
Impact of typical demand day selection on CCHP operational o...
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Applied Energy Symposium and Forum - Low-Carbon Cities and Urban Energy Systems (CUE)
作者: Gao, Yuan Liu, Qianying Wang, Shuxia Ruan, Yingjun Tongji Univ Mech & Energy Engn Sch 4800 Caoan Highway Shanghai 201804 Peoples R China
Due to high variability of energy demand in a whole year, optimizing the configuration and operation of a CCHP system will take very high and unfeasible computational time expenses. To overcome this problem, this pape... 详细信息
来源: 评论
Research on Discovery and Classification Technology of Electric Power Marketing Field Terminals
Research on Discovery and Classification Technology of Elect...
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作者: Xianzhou Gao Ruxia Yang Wei Chen Congcong Shi Global Energy Interconnection Research Institute State Grid Key Laboratory of Information & Network Security
In view of the characteristics of diversity,openness,complexity of Electric Power Marketing Field *** may be some security risks such as illegal terminal *** the problem of discovery and classification of Electric Pow... 详细信息
来源: 评论
Research on intrusion detection based on feature extraction of autoencoder and the improved k-means algorithm
Research on intrusion detection based on feature extraction ...
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作者: Wang, Xingang Wang, Linlin School of Information Qilu University of Technology Jinan China
Nowadays, intrusion detection is a technology to effectively avoid a number of risks of network intrusion. The k-means algorithm is widely used in intrusion detection. But, the algorithm has some shortcomings, such as... 详细信息
来源: 评论
POD-DEIM model order reduction for strain-softening viscoplasticity
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COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 2017年 317卷 458-479页
作者: Ghavamian, F. Tiso, P. Simone, A. Delft Univ Technol Fac Civil Engn & Geosci POB 5048 NL-2600 GA Delft Netherlands Swiss Fed Inst Technol Inst Mech Syst Leonhardstr 21 CH-8092 Zurich Switzerland
We demonstrate a Model Order Reduction technique for a system of nonlinear equations arising from the Finite Element Method (FEM) discretization of the three-dimensional quasistatic equilibrium equation equipped with ... 详细信息
来源: 评论
Daily Maximum Electric Load Forecasting with RBF Optimized by AFSA in k-means clustering algorithm
Daily Maximum Electric Load Forecasting with RBF Optimized b...
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International Conference on Materials, Mechatronics and Automation (ICMMA 2011)
作者: Shen, Wei Sun, Yueshi N China Elect Power Univ Coll Econ & Management Beijing Peoples R China
Electric load forecasting is an important aspect in the operation of energy market. Many researchers have tried various methods and have achieved considerable results. In this paper, we used Radial Basis Function Neur... 详细信息
来源: 评论
Extracting the symmetry axes of partially occluded single apples in natural scene using convex hull theory and shape context algorithm
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MULTIMEDIA TOOLS AND APPLICATIONS 2017年 第12期76卷 14075-14089页
作者: Niu, Leilei Zhou, Weicong Wang, Dandan He, Dongjian Zhang, Haihui Song, Huaibo Northwest A&F Univ Coll Mech & Elect Engn Yangling 712100 Shaanxi Peoples R China
Accurate identification of apples partially occluded by branches and leaves is an urgent and key issue for a picking robot. The objective of this study was to detect the symmetry axes of partially occluded single appl... 详细信息
来源: 评论
Machine learning for creation of generalized lumped parameter tank models of low temperature geothermal reservoir systems
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GEOTHERMICS 2017年 70卷 62-84页
作者: Li, Y. Juliusson, E. Palsson, H. Stefansson, H. Valfells, A. Tianjin Univ Key Lab Efficient Utilizat Low & Medium Grade Ene Minist Educ 92 Weijin Rd Tianjin 300072 Peoples R China Reykjavik Univ Sch Sci & Engn Menntavegi 1 IS-105 Reykjavik Iceland Landsvirkjun Haaleitisbraut 68 IS-103 Reykjavik Iceland Univ Iceland Fac Ind Engn Mech Engn & Comp Sci Hjardarhagi 2-6 IS-107 Reykjavik Iceland
Lumped parameter tank models have gained renewed interest in recent years as an alternative tool for geothermal reservoir analysis and production planning. The models can be structured in various ways regarding the nu... 详细信息
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