Build a Solver & find the Optimal Solution under Uncertainty

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Build a Solver & find the Optimal Solution under Uncertainty
  • !!! More Courses !!!.txt (1.1 KB)
    • 1. Introduction
    • 1. High-level summary of this course.mp4 (23.3 MB)
    • 1. High-level summary of this course.srt (3.0 KB)
    • 2. Decision making under uncertainty.mp4 (69.9 MB)
    • 2. Decision making under uncertainty.srt (15.2 KB)
    2. CODE MATLAB Energy Investments
    • 1. Overview Energy investments.mp4 (48.1 MB)
    • 1. Overview Energy investments.srt (4.3 KB)
    • 10. CODE MATLAB Modelling the operational costs.mp4 (111.4 MB)
    • 10. CODE MATLAB Modelling the operational costs.srt (18.3 KB)
    • 11. CODE MATLAB Demand Side Response & Total system cost.mp4 (92.6 MB)
    • 11. CODE MATLAB Demand Side Response & Total system cost.srt (12.9 KB)
    • 12. CODE MATLAB Case study calculating the system costs.mp4 (107.9 MB)
    • 12. CODE MATLAB Case study calculating the system costs.srt (18.1 KB)
    • 13. CODE MATLAB Case study II obtaining the optimal solution.mp4 (23.4 MB)
    • 13. CODE MATLAB Case study II obtaining the optimal solution.srt (5.7 KB)
    • 2. Implement Backwards Induction under Cost minimization and Maximization Criteria.mp4 (96.8 MB)
    • 2. Implement Backwards Induction under Cost minimization and Maximization Criteria.srt (15.7 KB)
    • 3. Analysis and Concepts on Energy Investments.mp4 (87.9 MB)
    • 3. Analysis and Concepts on Energy Investments.srt (12.5 KB)
    • 4. CODE Matlab implementation Main function.mp4 (103.9 MB)
    • 4. CODE Matlab implementation Main function.srt (16.7 KB)
    • 5. CODE MATLAB Implementing the Power Flow modelling.mp4 (120.5 MB)
    • 5. CODE MATLAB Implementing the Power Flow modelling.srt (17.2 KB)
    • 6. CODE MATLAB Investment Quantification.mp4 (29.8 MB)
    • 6. CODE MATLAB Investment Quantification.srt (6.5 KB)
    • 7. CODE MATLAB Calculating Total investment.mp4 (85.2 MB)
    • 7. CODE MATLAB Calculating Total investment.srt (14.5 KB)
    • 8. Model verification process.mp4 (49.3 MB)
    • 8. Model verification process.srt (7.3 KB)
    • 9. CODE MATLAB Enhancing the model realism.mp4 (97.2 MB)
    • 9. CODE MATLAB Enhancing the model realism.srt (11.2 KB)
    3. Excel Implementation of the Energy Investment model
    • 1. Excel Solver add-in installation process.mp4 (41.4 MB)
    • 1. Excel Solver add-in installation process.srt (6.7 KB)
    • 2. Material Excel spreadsheet.html (0.1 KB)
    • 2.1 excel stoch.xlsx (14.1 KB)
    • 3. Excel Structuring the spreadsheet for stochastic optimization.mp4 (58.5 MB)
    • 3. Excel Structuring the spreadsheet for stochastic optimization.srt (9.3 KB)
    • 4. Excel Setting the parameters &decision variables.mp4 (70.0 MB)
    • 4. Excel Setting the parameters &decision variables.srt (11.0 KB)
    • 5. Excel Running the Excel Solver.mp4 (112.7 MB)
    • 5. Excel Running the Excel Solver.srt (19.5 KB)
    4. Mathematical formulations and Scenario Trees
    • 1. Overview.mp4 (1.5 MB)
    • 1. Overview.srt (0.5 KB)
    • 2. Mathematical Formulations for Optimization problems.mp4 (59.3 MB)
    • 2. Mathematical Formulations for Optimization problems.srt (12.4 KB)
    • 3. Mathematics of scenario trees for stochastic optimization.mp4 (76.7 MB)
    • 3. Mathematics of scenario trees for stochastic optimization.srt (10.8 KB)
    • 4. Mathematical formulations for a Backwards Induction scenario tree.mp4 (58.6 MB)
    • 4. Mathematical formulations for a Backwards Induction scenario tree.srt (8.5 KB)
    • 5. Different Mathematical formulations.mp4 (106.4 MB)
    • 5. Different Mathematical formulations.srt (18.0 KB)
    5. Conclusion
    • 1. Concluding remarks.mp4 (33.5 MB)
    • 1. Concluding remarks.srt (3.7 KB)
    • 2. Key Future Research on Stochastic Optimization.mp4 (31.1 MB)
    • 2. Key Future Research on Stochastic Optimization.srt (4.9 KB)
  • logo.jpg (72.1 KB)

Description


Build a Solver & find the Optimal Solution under Uncertainty
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | VTT | Size: 1.75 GB | Duration: 4h 4m
What you'll learn


Learn about energy Investments. Theory and Practice.
Understand the Fundamental Key points underlying the Concept of Decision Making under Uncertainty
Learn about Scenario trees. What do they represent and how they are modelled.
Learn about Mathematical Formulations. How they are read. What do they represent. And how they change depending on the problem.
Learn to build a MATLAB and EXCEL program that finds the optimal decision.
Requirements
No prerequisites. We start , literally, from zero. You do not even need to know MATLAB.
Description
In this course we build the foundations for the concept of Decision Making under Uncertainty.
Instead of focusing on theoretical / academic / abstract analyses, we move straight into action / practice / application by building
a MATLAB model that detects the Optimal Investment Decisions under uncertainty.
We adopt a step-by-step approach and build this model from scratch. Step - by - step we then add extra layers of code until the model is completed.
We also implement this solver on Excel and use Excel Solver to find the optimal solution.
In addition, we understand scenario trees. Scenario trees are vastly used in stochastic optimization.
We also study mathematical formulations. I.e. the symbols/notation used and how to analyse and synthesize them.
Through application and case studies, we develop understanding about Energy investments. We also look into relevant concepts such as "Demand Side Response" and "power flows". We study these but we also implement them in code.
Please do not hesitate to ask for coupons for my other courses. Also, you get lifetime access to the Q&A section, where you can ask any question and receive answers.
Also, you download lots of material, including slides, as well as code. Please feel free to ask any questions, or make any recommendations that will enhance the course.
I wish you the best of luck!
Who this course is for:
Entrepreneurs
Academics & Researchers
Postgraduate students
Policy makers
Quants & Finance professionals
Engineers



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Build a Solver & find the Optimal Solution under Uncertainty

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1.8 GB
seeders:3
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Build a Solver & find the Optimal Solution under Uncertainty

Torrent hash: 44A3BE0C0C5665CB90020CCFF7E952760B130B4A