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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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