Computational Intelligence in Power Engineering - Studies in Computational Intelligence
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Published By Springer Berlin Heidelberg

9783642140129, 9783642140136

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Power System Protection Using Machine Learning Technique

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_7 ◽

2010 ◽

pp. 171-198 ◽

Cited By ~ 1

Author(s):

S. R. Samantaray ◽

P. K. Dash ◽

G. Panda

Keyword(s):

Machine Learning ◽

Power System ◽

Power System Protection ◽

Machine Learning Technique ◽

System Protection ◽

Learning Technique

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Power Quality

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_8 ◽

2010 ◽

pp. 199-234

Author(s):

Kyeon Hur ◽

Surya Santoso

Keyword(s):

Power Quality

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Neural Network Ensemble for 24-Hour Load Pattern Prediction in Power System

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_6 ◽

2010 ◽

pp. 151-169 ◽

Cited By ~ 1

Author(s):

Krzysztof Siwek ◽

Stanislaw Osowski

Keyword(s):

Neural Network ◽

Power System ◽

Neural Network Ensemble ◽

Load Pattern ◽

Pattern Prediction

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Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolution

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_1 ◽

2010 ◽

pp. 1-18 ◽

Cited By ~ 11

Author(s):

M. A. Abido

Keyword(s):

Power Systems ◽

Power System ◽

Differential Evolution ◽

Robust Design ◽

Power System Stabilizers

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A Metaheuristic Approach for Transmission System Expansion Planning

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_12 ◽

2010 ◽

pp. 367-379

Author(s):

Ashu Verma ◽

P. R. Bijwe ◽

B. K. Panigrahi

Keyword(s):

Transmission System ◽

System Expansion ◽

Expansion Planning

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Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_5 ◽

2010 ◽

pp. 131-150 ◽

Cited By ~ 15

Author(s):

Abbas Khosravi ◽

Saeid Nahavandi ◽

Doug Creighton

Keyword(s):

Neural Networks ◽

Prediction Interval ◽

Load Forecasting

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Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_9 ◽

2010 ◽

pp. 235-294 ◽

Cited By ~ 1

Author(s):

Adel M. Sharaf ◽

Adel A. A. El-Gammal

Keyword(s):

Particle Swarm Optimization ◽

Power System ◽

Particle Swarm ◽

Swarm Optimization ◽

Search Tool

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Intelligent Techniques for Transmission Line Fault Classification

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_3 ◽

2010 ◽

pp. 75-101 ◽

Cited By ~ 1

Author(s):

A. K. Pradhan

Keyword(s):

Transmission Line ◽

Fault Classification

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Application of Evolutionary Optimization Techniques for PSS Tuning

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_11 ◽

2010 ◽

pp. 325-366 ◽

Cited By ~ 2

Author(s):

S. P. Ghoshal ◽

A. Chatterjee ◽

V. Mukherjee

Keyword(s):

Evolutionary Optimization ◽

Optimization Techniques ◽

Evolutionary Optimization Techniques

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An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration

Computational Intelligence in Power Engineering - Studies in Computational Intelligence ◽

10.1007/978-3-642-14013-6_2 ◽

2010 ◽

pp. 19-73

Author(s):

A. Ahuja ◽

S. Das ◽

A. Pahwa

Keyword(s):

Distribution System ◽

Hybrid Approach ◽

Multi Objective ◽

System Reconfiguration ◽

Distribution System Reconfiguration

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Computational Intelligence in Power Engineering - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Power System Protection Using Machine Learning Technique

Power Quality

Neural Network Ensemble for 24-Hour Load Pattern Prediction in Power System

Robust Design of Power System Stabilizers for Multimachine Power Systems Using Differential Evolution

A Metaheuristic Approach for Transmission System Expansion Planning

Load Forecasting and Neural Networks: A Prediction Interval-Based Perspective

Particle Swarm Optimization PSO: A New Search Tool in Power System and Electro Technology

Intelligent Techniques for Transmission Line Fault Classification

Application of Evolutionary Optimization Techniques for PSS Tuning

An AIS-ACO Hybrid Approach for Multi-Objective Distribution System Reconfiguration

Computational Intelligence in Power Engineering - Studies in Computational Intelligence
Latest Publications