Decision Making Algorithms for Hydro-Power Plant Location

By Soumya Ghosh and Mrinmoy Majumder

1. Introduction
1.1. Energy Scenario
1.2. Threats to Natural Resources
1.3. Potential of Hydro-energy as a Possible Alternative
1.4. Decision Making Algos
1.5. Objective and Brief Methodology
1.6. Locations Considered as Alternatives
1.6.1. River Chenab
1.6.2. River Danube
1.6.3. River Yukon

2. Hydro Power Plants
2.1. Classification of Hydro-Power Plant
2.1.1. Classification according to Quantity of water
2.1.2. Classification according to availability of water head
2.1.3. Classification according to nature of load
2.2. Advantages of Hydropower Plant
2.3. Disadvantages of Hydropower Plant

3. Decision Making Methodology
3.1. Procedures of Decision Making
3.2. Multi-Attribute Decision Making
3.3. Performance Metrics: KAPPA Coefficient of Agreements
3.3. 1.Interpretation of KAPPA Coefficient of Agreement

4. Nature Based Algorithms
4.1. Artificial Neural Networks
4.2. Genetic Algorithms
4.3. Fuzzy Logic
4.4. BAT Algorithm
4.5. Analytical Hierarchy Process (AHP)
4.5.1. Advantage of the analytical hierarchy process (AHP)
4.5.2. Principle of the analytical hierarchy process (AHP)
4.5.3. Steps of the analytical hierarchy process (AHP)

5. Methodology
5.1. Decision Making Factors
5.2. Nature Based Algorithm

6. Result & Discussion

7. Conclusion
7.1. Limitations
7.2 Future scope

• Format: Paperback
• Language: English
• ISBN: 9814451622
• ISBN13: 9789814451628
• Release Date: June 2013
• Publisher: Springer
• Length: 73 Pages
• Weight: 0.30 lbs.
• Dimensions: 0.3" x 5.9" x 8.9"