Course Name | Chinese | 人工智能及其在电力系统中的应用 | |||||||||||
English | Artificial Intelligence and its Application in Power Systems | ||||||||||||
Course Number | S016107 | Type of Degree | Ph. D | Master | |||||||||
Total Credit Hours | 36 | In Class Credit Hours | 30 | Credit | 2 | Practice | Computer-using Hours | 20 | |||||
Course Type | □Public Fundamental □Major Fundamental □Major Compulsory √Major Elective | ||||||||||||
School (Department) | School of Electrical Engineering | Term | Autumn | ||||||||||
Examination | A.□Paper（□Open-book □Closed-book） B.□Oral C.□Paper-oral Combination D.√ Others Paper and Practice | ||||||||||||
Chief Lecturer | Name | Lei WANG | Professional Title | Associate Professor | |||||||||
wangl@seu.edu.cn | Website | ||||||||||||
Teaching Language used in Course | Chinese | Teaching Material Website | |||||||||||
Applicable Range of Discipline | Name of First-Class Discipline | ||||||||||||
Number of Experiment | Preliminary Courses | ||||||||||||
Teaching Books | Textbook Title | Author | Publisher | Year of Publication | Edition Number | ||||||||
Main Textbook | Artificial Intelligence A Guide to Intelligence Systems | Michael Negnevitsky | China Mechanism Publishing House | 2005.1 | |||||||||
Main Reference Books | Artificial Intelligence | Shitong Wang | Publishing House of Electrical Indusitry | 2006.8 | The Second Edition | ||||||||
Artificial Intelligence: Principles and Applications | Zixing Cai | Tisinghua University Publishing House | 2007 | ||||||||||
Expert System And Its Application in Power System | Guoqing Tang , Yihan Yang, Shu Gao | China Energy Power Publishing House | 1995 | ||||||||||
I.Course Introduction (including teaching goals and requirements) within 300 words:
Artificial Intelligence (AI) is a new and inter-disciplinary branch of science. It is widely used in many fields. This course is an introduction to the theory of Artificial Intelligence and the way to develop intelligence system. The basic concept of AI and problem-solving techniques based AI will be studied. And the application of AI in power system will be discussed. In this way, the students will learn how to solve the problems by the techniques based AI in future study.
II.Teaching Syllabus (including the content of chapters and sections. A sheet can be attached):
Chapter 1 Introduction of AI
Concept of AI; classification, development, application of AI technique.
Chapter 2 Technique of Knowledge Representation
Concept of knowledge and intelligence system; state space method, Problem-reduction algorithm（AND-OR tree）, predicate logic method, frame representation, object-oriented representation;
Examples of Knowledge Representation in power system
Chapter 3 Technique of General Problem Solving
Concept of search; blind search, heuristic search, AND-OR tree search, general problem solving theory
Chapter 4 Technique of Inference
Concept of inference, resolution principle, rule-based deduction inference, fuzzy inference
Chapter 5Principle of Expert System (ES) and its Application in Power System.
Concept of ES, structure and operation theory of ES, design and implement of ES. Examples of application of ES in power system.
Chapter 6 Computational Intelligence
Artificial neural network (ANN) and its application in power system; fuzzy theory, genetic algorithm, evolution programming, examples of application of computational intelligence technique in power system
Chapter 7 Introduction of Other Intelligence Theories
Data mining, agent, intelligence decision-making system; examples of application
III.Teaching Schedule:
Week | Course Content | Teaching Method |
1 | Chapter1 Introduction of artificial intelligence | lecture |
2 | Chapter2 Technique of Knowledge Representation( state space method, problem-reduction algorithm（AND-OR tree）, predicate logic method) | lecture |
3 | Chapter2 Technique of Knowledge Representation(frame representation, object-oriented representation, examples of knowledge representation in power system) | lecture |
4 | Chapter2 Technique of Knowledge Representation( examples of knowledge representation in power system) | seminar |
5 | Chapter3 Technique of General Problem Solving( concept of search, blind search, heuristic search,AND-OR tree search) | lecture |
6 | Chapter3Technique of General Problem Solving (general problem solving theory) | seminar |
7 | Chapter4 Technique of Inference(concept of Inference, resolution principle, rule_based deduction inference) | lecture |
8 | Chapter4 Technique of Inference(fuzzy inference) | lecture |
9 | Chapter5 Principle of Expert system(ES) and its application in power system( concept, structure and operation theory of ES, design and implement of ES) | lecture |
10 | Chapter5 Principle of Expert system (ES) and its application in power system ( examples of application of ES in power system) | seminar |
11 | Chapter6 Computational Intelligence( Artificial neural network (ANN) and its application in power system) | lecture |
12 | Chapter6 Computational Intelligence( Artificial neural network (ANN) and its application in power system) | seminar |
13 | Chapter6 Computational Intelligence( fuzzy theory, genetic algorithm, evolution programming) | lecture |
14 | Chapter6 Computational Intelligence( application of fuzzy theory, genetic algorithm, evolution programming in power system) | seminar |
15 | Chapter7 Introduction of Other Intelligence Theories( data mining) | lecture , seminar |
16 | Chapter7 Introduction of Other Intelligence Theories ( agent) | lecture , seminar |
17 | Chapter7 Introduction of Other Intelligence Theories (examples of application of intelligence decision-making system) | lecture , seminar |
18 | Summary | lecture , seminar |
