標題: Titlebook: Computational Intelligence in Power Engineering; Bijaya Ketan Panigrahi,Ajith Abraham,Swagatam Das Book 2010 Springer-Verlag Berlin Heidel [打印本頁] 作者: broach 時間: 2025-3-21 17:47
書目名稱Computational Intelligence in Power Engineering影響因子(影響力)
書目名稱Computational Intelligence in Power Engineering影響因子(影響力)學科排名
書目名稱Computational Intelligence in Power Engineering網絡公開度
書目名稱Computational Intelligence in Power Engineering網絡公開度學科排名
書目名稱Computational Intelligence in Power Engineering被引頻次
書目名稱Computational Intelligence in Power Engineering被引頻次學科排名
書目名稱Computational Intelligence in Power Engineering年度引用
書目名稱Computational Intelligence in Power Engineering年度引用學科排名
書目名稱Computational Intelligence in Power Engineering讀者反饋
書目名稱Computational Intelligence in Power Engineering讀者反饋學科排名
作者: Canopy 時間: 2025-3-21 21:35
978-3-642-26509-9Springer-Verlag Berlin Heidelberg 2010作者: 暗諷 時間: 2025-3-22 02:15
Computational Intelligence in Power Engineering978-3-642-14013-6Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 態(tài)學 時間: 2025-3-22 05:00 作者: Unsaturated-Fat 時間: 2025-3-22 08:59
Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232531.jpg作者: Ischemia 時間: 2025-3-22 13:05
,Agilit?t für die Strategieausrichtung,ferential Evolution (DE) technique to search for optimal settings of PSS parameters. An eigenvalue-based objective function to enhance system damping for electromechanical modes is considered. The robustness of the proposed approach to the initial population is demonstrated. The performance of the p作者: Ischemia 時間: 2025-3-22 18:41
Strategisch Behaviorale Therapie (SBT), formulated as a multi-objective optimization problem. The algorithm maintains a population of candidate solutions called antibodies. The search space is explored by means of the hypermutation operator that perturbs existing antibodies to produce new ones. A table of pheromones is used to reinforce 作者: resilience 時間: 2025-3-22 22:29 作者: Hippocampus 時間: 2025-3-23 01:54 作者: 注入 時間: 2025-3-23 08:52 作者: 不合 時間: 2025-3-23 10:35 作者: contradict 時間: 2025-3-23 17:27
Durchsetzung einer neuen Strategie,VM). SVM is a relatively new computational learning method based on the statistical learning theory. The proposed technique is used for developing protection schemes for Thyristor Controlled Series Compensated (TCSC) Line using post fault current samples for half cycle (10 samples) from the inceptio作者: Capture 時間: 2025-3-23 19:45
Die Notwendigkeit von Strategien,ll have more and more PQ-sensitive loads such as microprocessor-based devices, critical manufacturing processes, and data centers [1]. Our future global competitiveness demands disturbance-free operation of the digital devices that empower the productivity of our economy. It is expected that the Sma作者: 百科全書 時間: 2025-3-23 22:51 作者: 異端邪說下 時間: 2025-3-24 03:34
https://doi.org/10.1007/978-3-211-69367-4ately, are of non-convex and sometimes discrete nature has encouraged many researchers to develop new optimization techniques to overcome such difficulties. Particle Swarm Optimization (PSO) is one of the newly developed optimization techniques with many attractive features. Early experimentations o作者: 半球 時間: 2025-3-24 06:55
https://doi.org/10.1007/978-3-211-69367-4both single-input and dual-input power system stabilizers (PSSs). Conventional PSS (CPSS) and the three dual-input IEEE PSSs (PSS2B, PSS3B, and PSS4B) are optimally tuned to obtain the optimal transient performances. A comparative performance study of these four variants of PSSs is also made. It is 作者: 低能兒 時間: 2025-3-24 12:24 作者: ATP861 時間: 2025-3-24 15:04 作者: Anhydrous 時間: 2025-3-24 19:23
,Agilit?t für die Strategieausrichtung,ltimachine power systems. The eigenvalue analysis and the nonlinear simulation results show the robustness and the effectiveness of the DEPSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions.作者: 籠子 時間: 2025-3-25 01:03
Rudolf Streicher,Georg Turnheimal predictor has the form of another neural network. The developed system of prediction was tested on the real data of the Polish Power System. The results have been compared to the appropriate values generated by other methods.作者: PHAG 時間: 2025-3-25 07:20 作者: CRP743 時間: 2025-3-25 08:47
Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolutiltimachine power systems. The eigenvalue analysis and the nonlinear simulation results show the robustness and the effectiveness of the DEPSSs to damp out the local as well as the interarea modes of oscillations and work effectively over a wide range of loading conditions.作者: 浪蕩子 時間: 2025-3-25 14:23
Neural Network Ensemble for 24-Hour Load Pattern Prediction in Power System,al predictor has the form of another neural network. The developed system of prediction was tested on the real data of the Polish Power System. The results have been compared to the appropriate values generated by other methods.作者: 全國性 時間: 2025-3-25 19:20
A Metaheuristic Approach for Transmission System Expansion Planning, results for three sample test system are obtained to show the potential of the tested algorithm. The results obtained with HS are compared with basic binary GA to confirm the effectiveness of HS in terms of solution quality and number of fitness function evaluations required.作者: 作嘔 時間: 2025-3-25 22:07
M. A. Dutrée,R. A de Man,M. A. Jebbinkand binary assumptions about state of the system, i.e. either in success state or in failed state. Hence classical reliability models are also known as probabilistic binary state (PROBIST) model [1-3].作者: 分開如此和諧 時間: 2025-3-26 01:27 作者: Entirety 時間: 2025-3-26 04:50 作者: 推測 時間: 2025-3-26 09:07 作者: 持續(xù) 時間: 2025-3-26 14:44 作者: 運氣 時間: 2025-3-26 16:59
An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration,better edges during hypermutation. An added innovation is the use of the pheromones to obtain quick solutions to restore the distribution system under contingency situations. The hybrid approach has been successfully implemented on two test networks. The results obtained demonstrate the efficacy of the algorithm.作者: vertebrate 時間: 2025-3-26 23:34
Particle Swarm Optimization and Its Applications in Power Systems,f employing PSO in many applications in science and technology have indicated its promising potential. Thus, the basics of PSO theory, development, main features, and its applications in power systems are presented in the following sections.作者: 倔強一點 時間: 2025-3-27 02:12
Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolutiferential Evolution (DE) technique to search for optimal settings of PSS parameters. An eigenvalue-based objective function to enhance system damping for electromechanical modes is considered. The robustness of the proposed approach to the initial population is demonstrated. The performance of the p作者: 琺瑯 時間: 2025-3-27 08:10
An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration, formulated as a multi-objective optimization problem. The algorithm maintains a population of candidate solutions called antibodies. The search space is explored by means of the hypermutation operator that perturbs existing antibodies to produce new ones. A table of pheromones is used to reinforce 作者: 者變 時間: 2025-3-27 09:59
Intelligent Techniques for Transmission Line Fault Classification,digital form include distance, current differential, phase comparison, directional comparison and travelling wave protection schemes. The transmission system protection techniques in general are involved in defining the system’s state through identifying the pattern of the associated voltage and cur作者: 后天習得 時間: 2025-3-27 17:31
Fuzzy Reliability Evaluations in Electric Power Systems,ility requirement for power system is very high. The classical reliability evaluations of Power System adopts the widely accepted definition of reliability as the probability of a device performing its purpose adequately for he period of time indented under the operating conditions encountered [1]. 作者: conduct 時間: 2025-3-27 18:41
Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective, high volatility of loads make their accurate prediction somewhat problematic. Presence of uncertainty in data also significantly degrades accuracy of point predictions produced by deterministic load forecasting models. Therefore, operation planning utilizing these predictions will be unreliable. Th作者: 螢火蟲 時間: 2025-3-27 23:20 作者: 破裂 時間: 2025-3-28 04:39
Power System Protection Using Machine Learning Technique,VM). SVM is a relatively new computational learning method based on the statistical learning theory. The proposed technique is used for developing protection schemes for Thyristor Controlled Series Compensated (TCSC) Line using post fault current samples for half cycle (10 samples) from the inceptio作者: A簡潔的 時間: 2025-3-28 07:54 作者: 結束 時間: 2025-3-28 11:50
Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology, system applications. As the complexities of the problem increase, especially with the introduction of uncertainties to the system, more complicated optimization techniques, such as stochastic programming have to be used. Particle Swarm Optimization (PSO) technique can be an alternative solution for作者: CRUMB 時間: 2025-3-28 15:01
Particle Swarm Optimization and Its Applications in Power Systems,ately, are of non-convex and sometimes discrete nature has encouraged many researchers to develop new optimization techniques to overcome such difficulties. Particle Swarm Optimization (PSO) is one of the newly developed optimization techniques with many attractive features. Early experimentations o作者: Leisureliness 時間: 2025-3-28 18:46 作者: 不利 時間: 2025-3-29 02:36 作者: 笨拙的我 時間: 2025-3-29 04:10
Intelligent Techniques for Transmission Line Fault Classification, fuzzy logic system (FLS) are the highlighted ones. The expert systems have been criticized for requiring a great effort to build (knowledge acquisition) and maintain the knowledge base. The NNs, on the other hand, offer a simple and more robust solution to pattern classification problems due to the作者: 好開玩笑 時間: 2025-3-29 11:00 作者: Facilities 時間: 2025-3-29 14:19
Power System Protection Using Machine Learning Technique,d and tested with zero sequence components of fundamental, 3. and 5. harmonic components of the post fault current signal to result the involvement of ground in the fault process. The polynomial and Gaussian kernel based SVMs are designed to provide most optimized boundary for classification. The cl作者: meritorious 時間: 2025-3-29 19:16
Power Quality,plications of CI for PQ are continually evolving due to advanced PQ monitoring (or recording) devices. The objective of this chapter is to present these CI applications such as signal processing and artificial intelligence (AI) techniques to help understand, measure, and mitigate PQ phenomena. This 作者: 領導權 時間: 2025-3-29 23:26
Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology,on (PSO). These two techniques are:.The main procedure of the SOPSO is based on deriving a single objective function for the problem. The single objective function may be combined from several objective functions using weighting factors. The objective function is optimized (either minimized or maxim作者: 鋸齒狀 時間: 2025-3-30 02:13
Application of Evolutionary Optimization Techniques for PSS Tuning,haotic and self-organization behavior of ants in the foraging process. A novel concept, like craziness, is introduced in the CASO to achieve improved performance of the algorithm. For on-line, offnominal operating conditions Sugeno fuzzy logic (SFL) based approach is adopted. On real time measuremen
