COURSE SUMMARY
Course Title: 
Computational Intelligence for Power Applications
Course Code: 
18PR602
Year Taught: 
2018
Semester: 
1
Degree: 
Postgraduate (PG)
School: 
School of Engineering
Campus: 
Amritapuri

'Computational Intelligence for Power Applications' is a course offered in the M. Tech. in Power & Energy Engineering program at School of Engineering, Amrita Vishwa Vidyapeetham, Amritapuri campus.

Introduction to Computational Intelligence, Intelligence machines, Computational intelligence paradigms, Rule-Based Expert Systems and Fuzzy Expert Systems, Rule-based expert systems, Uncertainty management, Fuzzy sets and operations of fuzzy sets, Fuzzy rules and fuzzy inference, Fuzzy expert systems, Case study: fuzzy logic controller for washing machines, Artificial Neural Networks, Fundamental neuro computing concepts: artificial neurons, activation functions, neural network architectures, learning rules. Supervised learning neural networks: multi-layer feed forward neural networks, simple recurrent neural networks, time-delay neural networks, supervised learning algorithms, Unsupervised learning neural networks: self-organizing feature maps, Radial basis function networks, Deep neural networks and learning algorithms. Case study: anomaly detection, Evolutionary computation, Chromosomes, fitness functions, and selection mechanisms. Genetic algorithms: crossover and mutation, Genetic programming, Evolution strategies, probabilistic reasoning, Hybrid Intelligent Systems, Neural expert systems, Neuro-fuzzy systems, Evolutionary neural networks, Case study and Simulation of artificial intelligence, fuzzy evolutionary algorithms in power system applications.

  • Timothy J Ross, “Fuzzy Logic with Engineering Applications”, Wiley India Private Limited, 2010.
  • Laurene Fausett, “Fundamentals of neural Network, Architecture, Algorithms, and Applications”, Pearson Education, 2002.
  • John Yen and Reza Langari, “Fuzzy logic, Intelligence control and Information”, Pearson Education, 2003.
  • M. Negnevitsky, “Artificial Intelligence: A Guide to Intelligent Systems”, 3rd Edition, Pearson/Addison Wesley, 2011.
  • A.P. Engelbrecht, “Computational Intelligence: An Introduction”, 2nd Edition,
  • John Wiley & Sons, 2012 Gerald C. F. and Wheatley P. O, “Applied Numerical Analysis”, Sixth Edition, Pearson Education Asia, New Delhi, 2002.
  • S. Russell and P. Norvig. “Artificial Intelligence – A Modern Approach”, Prentice Hall, 2010
  • H.K. Lam, S.S.H. Ling, and H.T. Nguyen, “Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine”, Imperial College Press, 2011
  • N. Baba and L.C. Jain, “Computational Intelligence in Games”, Heidelberg; New York: Physica-Verlag, 2001