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{
"item_title" : "Decision Making Algorithms for Hydro-Power Plant Location",
"item_author" : [" Mrinmoy Majumder", "Soumya Ghosh "],
"item_description" : "1. Introduction1.1. Energy Scenario1.2. Threats to Natural Resources1.3. Potential of Hydro-energy as a Possible Alternative1.4. Decision Making Algos1.5. Objective and Brief Methodology1.6. Locations Considered as Alternatives1.6.1. River Chenab1.6.2. River Danube1.6.3. River Yukon2. Hydro Power Plants2.1. Classification of Hydro-Power Plant2.1.1. Classification according to Quantity of water2.1.2. Classification according to availability of water head2.1.3. Classification according to nature of load2.2. Advantages of Hydropower Plant2.3. Disadvantages of Hydropower Plant 3. Decision Making Methodology3.1. Procedures of Decision Making3.2. Multi-Attribute Decision Making3.3. Performance Metrics: KAPPA Coefficient of Agreements3.3. 1.Interpretation of KAPPA Coefficient of Agreement 4. Nature Based Algorithms4.1. Artificial Neural Networks4.2. Genetic Algorithms4.3. Fuzzy Logic4.4. BAT Algorithm4.5. 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. Methodology5.1. Decision Making Factors5.2. Nature Based Algorithm 6. Result & Discussion 7. Conclusion7.1. Limitations7.2 Future scope",
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Overview
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
2.1. 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
This item is Non-Returnable
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Details
- ISBN-13: 9789814451628
- ISBN-10: 9814451622
- Publisher: Springer
- Publish Date: June 2013
- Dimensions: 8.9 x 5.9 x 0.3 inches
- Shipping Weight: 0.3 pounds
- Page Count: 73
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