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ESL372: Difference between revisions

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| credit_structure = 3-0-0
| credit_structure = 3-0-0
| pre_requisites =  
| pre_requisites =  
| overlaps = Some overlap with ELL784, COL303, COL770,
| overlaps = Some overlap with [[ELL784]], [[COL303]], [[COL770]],
}}
}}


== ESL372 : Intelligent Techniques for Energy System Analysis ==
== ESL372 : Intelligent Techniques for Energy System Analysis ==
ELL789 Basic probability theory, probability density functions, types of distribution, uncertainty analysis, expert systems, regression Courses of Study 2024-2025 Energy Science and Engineering 198methods, classification methods, descriptive data analysis, artificial neural networks, anomaly/outlier detection, soft computing methods, IoT. information flow diagrams, Lagrange multipliers, Search methods, Dynamic programming, Geometric programming, Linear programming, modeling of energy systems, Steady-state simulation and dynamic behavior analysis of large energy systems like heat exchangers, power plants, components optimization for maximum efficiency, energy system optimization.
[[ELL789]] Basic probability theory, probability density functions, types of distribution, uncertainty analysis, expert systems, regression Courses of Study 2024-2025 Energy Science and Engineering 198methods, classification methods, descriptive data analysis, artificial neural networks, anomaly/outlier detection, soft computing methods, IoT. information flow diagrams, Lagrange multipliers, Search methods, Dynamic programming, Geometric programming, Linear programming, modeling of energy systems, Steady-state simulation and dynamic behavior analysis of large energy systems like heat exchangers, power plants, components optimization for maximum efficiency, energy system optimization.

Latest revision as of 16:33, 14 April 2026

ESL372
Intelligent Techniques for Energy System Analysis
Credits 3
Structure 3-0-0
Pre-requisites
Overlaps Some overlap with ELL784, COL303, COL770,

ESL372 : Intelligent Techniques for Energy System Analysis

ELL789 Basic probability theory, probability density functions, types of distribution, uncertainty analysis, expert systems, regression Courses of Study 2024-2025 Energy Science and Engineering 198methods, classification methods, descriptive data analysis, artificial neural networks, anomaly/outlier detection, soft computing methods, IoT. information flow diagrams, Lagrange multipliers, Search methods, Dynamic programming, Geometric programming, Linear programming, modeling of energy systems, Steady-state simulation and dynamic behavior analysis of large energy systems like heat exchangers, power plants, components optimization for maximum efficiency, energy system optimization.