检索结果-内蒙古大学图书馆

Short-term photovoltaic power forecasting based on the human body amenity and least squares support vector machine with fruit fly optimization algorithm

Short-term photovoltaic power forecasting based on the human...

引用

2016年土木、建筑与环境工程国际学术会议

作者： Huabao Chen Wei Han Ling Chen School of Physics and Electronic Electrical Engineering Huaiyin Normal University Jiangsu Province Key Construction Laboratory of Modern Measurement Technology and Intelligent System State Grid Huaian Power Supply Company College of Energy and Electrical Engineering Hohai University

ISBN: (纸本)9781138065833

Accurate PhotoVoltaic(PV) power forecasting can provide reliable guidelines for power dispatching and construction planning of PV power generation,which is also important to the sustainable development of solar *** to the characteristics of PV power generation and the factors impacting PV output power,the human body amenity is *** forecasting performance of the Least Squares Support Vector Machine(LSSVM) model largely depends on the parameters of the kernel function and penalty *** this paper,a hybrid PV power forecasting model combining Fruit fly Optimization Algorithm(FOA) with LSSVM is proposed to solve this problem,where the FOA is used to automatically select the appropriate parameter values for the LSSVM PV power forecasting *** numerical results verify the effectiveness and accuracy of the proposed model and improved algorithm.

关键词： FOA LSSVM Short-term photovoltaic power forecasting based on the human body amenity and least squares support vector machine with fruit fly optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Landing Performance Simulation of an Asteroid Landing Mechanism

Landing Performance Simulation of an Asteroid Landing Mechan...

引用

IEEE International Conference on Information and Automation

作者： Zhijun Zhao Delun Li Baofeng Yuan Sheng Gao Jingdong Zhao Beijing Key Laboratory of Intelligent Space Robotic Systems Technology and Applications Beijing Institute of Spacecraft System Engineering State Key Laboratory of Robotics and System Harbin Institute of Technology

ISBN: (纸本)9781467391054

Asteroid landing is a new research field in deep space exploration, which has important scientific and economic values in learning the origin of the solar system and exploring the asteroid. It is microgravity and little media properties are obtained on the asteroid surface, thus good landing performance is demanded to realize safe landing of the landing mechanism. Landing mechanism in the paper has three legs, and the damping device is located between the landing gear and the equipment base. Simulation method is introduced to analyze the landing performance of the landing mechanism. Landing performance of the landing mechanism on 30° landing slope with the largest landing velocity is simulated in three typical landing modes, and the landing performance is reflected by stability time of the landing gear and overloading acceleration of the equipment base. Landing simulation has important significance in learning landing performance and guiding the landing of the landing mechanism.

关键词： Asteroid Landing mechanism Landing performance Simulation

来源：评论

学校读者我要写书评

暂无评论

Microgrid operational benefits distribution based on the theory of cooperative game

Microgrid operational benefits distribution based on the the...

引用

China International Conference on Electricity Distribution, CICED

作者： Wenbo Li Si Yang Ming Li Zhe Jiang Naihu Wu Jiayin Jiang State Grid Shandong Electric Power Research Institute Jinan China Economic & Technology Research Institute State Grid Shandong Electric Power Company Jinan China Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University) Jinan China

ISBN: (纸本)9781467390712

To solve the internal distribution problem of microgrid operation benefit, a benefit distribution method based on the economic operation and cooperative game theory is proposed, which can satisfy individual rationality and global efficiency. It can be used to estimate value of various participants in microgrid and provide references for payment and settlement inside microgrid as well. The influence of characteristics of participants on the result of the distribution is analyzed through a typical example. Results indicates that the method proposed in this paper can realize rational distribution of microgrid benefit, and it could also guide and stimulate participants to improve own characteristics.

关键词： Microgrids Economics Games Mathematical model Game theory

来源：评论

学校读者我要写书评

暂无评论

A novel analysis and forecast method of electricity business expanding based on seasonal adjustment

A novel analysis and forecast method of electricity business...

引用

IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Yumin Zhang Xueshan Han Guangsen Yang Yong Wang Li Zhang Xiaofeng Miao Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University Jinan China State Grid Jiangsu Electric Power Maintenance Branch Company Nanjing China State Grid Shandong Electric Power Company Yantai Electric Power Company Yantai China

ISBN: (纸本)9781509054190

Inefficient utilization of electricity business expanding data in state Grid Companies related departments still exist. It is because of their excessive attention on the speed of electricity supply and the quality of service, but ignores the potential useful information of the data implied in the future electricity sale market. With this regard, this paper proposes a novel analysis and forecast method of electricity business expanding based on seasonal adjustment, which focuses more closely on the relationship between expanding capacity and electricity consumption. Firstly, the seasonal adjustment method on power consumption of customer aims at eliminating the influence of seasonal fluctuation on the trend of electricity consumption growth, seeking the internal rules of their time series, and selecting typical customers that are representative. The release rules of newly installed capacity of the customer group consisted of the selected typical customers can be obtain by the Principal Component Analysis (PCA) method. Secondly, the seasonal adjustments on expanding capacity and electricity sales are respectively used to find their trend cycles (TC). The month that the correlation degree of the two trend cycles is maximal can be found out through the grey correlation analysis method to realize the electricity sales forecasting. Compared to conventional electricity demand forecasting method, the proposed method can effectively overcome the regional power grid unstable problem resulted from the inaccurate statistic rule of the conventional method and improve the accuracy of electricity forecasting. Example analysis verifies the validity and engineering practicability of the proposed method.

关键词： Logistics Forecasting Optimization

来源：评论

学校读者我要写书评

暂无评论

A hybrid-integrated external cavity laser with ultra-wide wavelength tuning range and high side-mode suppression

A hybrid-integrated external cavity laser with ultra-wide wa...

引用

Optical Fiber Communication Conference, OFC 2016

作者： Guo, Yuyao Li, Xinhang Xu, Weihan Liu, Chuxin Jin, Minhui Lu, Liangjun Xie, Jingya Stroganov, Anton Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China Terahertz Technology Innovation Research Institute Terahertz Spectrum and Imaging Technology Cooperative Innovation Center Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai200093 China LIGENTEC SA EPFL Innovation Park Bâtiment L Ecublens1024 Switzerland

We present a III-V/Si3N4 hybrid-integrated tunable laser. The laser shows a record of ~170-nm tuning range with a side mode suppression ratio above 64 dB and an intrinsic linewidth below 2.8 kHz. © 2022 The Autho...

ISBN: (纸本)9781943580071

关键词：

来源：评论

学校读者我要写书评

暂无评论

An event-driven based multiple scenario approach for dynamic and uncertain uav mission planning 6th

引用

6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Shang, Ke Ke, Liangjun Feng, Zuren Karungaru, Stephen State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Xi’an China Department of Information Science and Intelligent System The University of Tokushima Tokushima Japan

ISBN: (纸本)9783319204710

In this paper, a Dynamic and Uncertain Unmanned Aerial Vehicle Mission Planning(DUUMP) is considered. New targets reveal stochastically during the mission execution and the surveillance benefit of each target is a random variable. To deal with this problem, an Event-driven based Multiple Scenario Approach(MSA) is developed. Experiment studies show that the Event-driven based MSA can solve the DUUMP effectively and efficiently with quick system responsiveness and high quality solution, which shows its practical value for real world applications. © Springer International Publishing Switzerland 2015.

关键词： Antennas

来源：评论

学校读者我要写书评

暂无评论

A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

引用

2016 13th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical EngineeringTaiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform(WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the ***, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine(weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our Institute,and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

来源：评论

学校读者我要写书评

暂无评论

A Two-Step Fault Diagnosis Framework for Rolling Element Bearings with Imbalanced Data

A Two-Step Fault Diagnosis Framework for Rolling Element Bea...

引用

International Conference on Ubiquitous Robots and Ambient Intelligence

作者： Yuan Lan Weiwei Zong Xiaojian Ding Xiaoyan Xiong Xiaohang Han Jiahai Huang Bing Ma Key Laboratory of Ministry of Education in Advance Transducers and Intelligent Control System Institute of Mechatronics Engineering under School of Mechanical Engineering Taiyuan University of Technology Department of Computer Science Wayne State University Science and Technology on Information Systems Engineering Laboratory The Second Research Institute of China Electronic Technology Group Corporation

ISBN: (纸本)9781509008223

Rolling element bearings constitute the key parts on rotating machinery and their fault diagnosis are of great importance. In this paper, a novel Two-Step fault diagnosis framework is proposed to diagnose the status of rolling element bearings with imbalanced data. The Wavelet Packet Transform (WPT) is used to determine the feature vectors. 16-dimensional wavelet packet node energies were extracted from the original datasets as the feature vectors prepared to input to the classifiers. Next, our proposed framework consists of two steps for the fault diagnosis, where Step One makes use of Weighted Extreme Learning Machine (weighted ELM) in an effort to classify the normal or abnormal categories, and Step Two further diagnoses the underlying anomaly in details. The effectiveness of our proposed approach is testified on the raw data collected from the rolling element bearing experiments conducted in our Institute, and the empirical results showed that our approach is really fast and can achieve the diagnosis accuracies more than 95%.

关键词： Two-Step fault diagnosis framework Weighed ELM ELM Bearing fault diagnosis

来源：评论

学校读者我要写书评

暂无评论

Exploring Optimal Frequency Caps in Real Time Bidding Advertising

Exploring Optimal Frequency Caps in Real Time Bidding Advert...

引用

IEEE International Conference on Big Data and Cloud Computing (BdCloud)

作者： Rui Qin Yong Yuan Fei-Yue Wang Beijing Engineering Research Center of Intelligent Systems and Technology Beijing China The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Research Center of Military Computational Experiments and Parallel System National University of Defense Technology Changsha China

ISBN: (纸本)9781509039371

Benefited from the high-speed development of Internet and the popularization of big data technology, Real Time Bidding (RTB) emerged and developed quickly, and has become one of the most important and popular model for online computational advertising. In the pay-per-impression based RTB advertising, frequency capping is undoubtedly one of the most crucial issues faced by advertisers and Demand Side Platforms (DSPs), since there are generally vast amount of ad requests in RTB markets, among which many may be triggered by the same target audience. As such, choosing the optimal frequency cap considering all the advertisers becomes a critical issue faced by DSPs. Considering that displaying one advertisement multiple number of times to the same user will diminish the advertising effect, we introduce the concept of discount factor and establish an optimization model of frequency capping to seek for the optimal frequency cap for each advertiser. We also design some experiments to validate our proposed model by utilizing the computational experiment approach, and the experimental results show that the optimal frequency cap can be influenced by the values of the discount factors, and higher value of the discount factor can deduce the advertising effect of larger frequency cap. Moreover, when the discount factors of the advertisers take different values, there also exists an optimal frequency cap, at which the advertisers can get the expected maximum revenue in the long run.

关键词： Advertising Digital signal processing Computational modeling Big data Time-frequency analysis Radio spectrum management Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Interval Reliability Assessment of Power system under Epistemic Uncertainty Based on Belief UGF Method

引用

IOP Conference Series: Materials Science and Engineering 2017年第1期199卷

作者： Bolun Wang Yong Wang Ying Ding Ming Li Cong Zhang Key Laboratory of Power System Intelligent Dispatch and Control Shandong University Jinan 250061 China State Grid of China Technology College Jinan 250002 China State Grid Shan Dong Electric Power Research Institute Jinan 250002 Shandong Province China Shandong Zibo Power Supply Company Zibo 255032 Shandong Province China

At present, reliability assessment plays an important role in power systems. When the component failure probabilities are interval valued, common methods fail to achieve reasonable interval reliability assessment result of power systems. In this paper a novel approach based on the belief universal generating function (BUGF) is proposed to calculate the reliability indexes of power systems. Instead of giving a single-valued assessment result, a belief function and a plausibility function are exploited to calculate the lower and upper bounds of the loss of load probability (LOLP), the loss of load expectation (LOLE), the expected unsupplied load (EUL) and the expected unsupplied energy (EUE) in UGF, respectively. The proposed approach can track the correlation of the original data well and keep it to the end of the calculation. By using BUGF compared to other common methods to calculate the interval LOLP, LOLE, EUL, and EUE of IEEE-RTS 79, the results show the BUGF method can track the correlation of the original data well, and can get narrower and more accurate interval reliability indexes of the power generation system, which illustrates the effectiveness of the proposed approach.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：