Udemy - Minimax Regret for Power Systems Planning

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Udemy - Minimax Regret for Power Systems Planning (Size: 601 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. What is uncertainty (Description).html 716.8 B
  1. What is uncertainty.mp4 14.5 MB
  1. uncertainty.pptx 426.9 KB
  2 - Description of the case
  2. Topology of the grid (Part 1) (Description).html 716.8 B
  2. Topology of the grid (Part 1).mp4 8.4 MB
  3 - Minimax Regret
  4 - BONUS
  9. Bonus.html 5.8 KB
  5. The concept of regret (Description).html 716.8 B
  5. The concept of regret.mp4 105.2 MB
  5. regret.pptx 428.3 KB
  6. LWR step1.pptx 563.3 KB
  6. Step1 The deterministic model per scenario (Description).html 716.8 B
  6. Step1 The deterministic model per scenario.mp4 42.7 MB
  7. LWR step2.pptx 605.5 KB
  7. Step2 The table of regrets & minimax regret (Description).html 716.8 B
  7. Step2 The table of regrets & minimax regret.mp4 209.6 MB
  7. regrets_table.xlsx 11.5 KB
  8. Further explanation on the Table of Regrets (Description).html 716.8 B
  8. Further explanation on the Table of Regrets.mp4 93.5 MB
  8. LWR step2.pptx 591.8 KB
  3. Topology of the grid (Part 2) (Description).html 716.8 B
  3. Topology of the grid (Part 2).mp4 50.3 MB
  3. illustrative grid.pptx 433.8 KB
  4. Scenario tree.pptx 453.3 KB
  4. The Scenario Tree (Description).html 716.8 B
  4. The Scenario Tree.mp4 73.3 MB

Description


Minimax Regret for Power Systems Planning
https://WebToolTip.com
Published 4/2026

Created by Dr Spyros Giannelos | Energy Data Scientist

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 56m ) | Size: 601 MB
The least-worst regret approach to grid investment under uncertain EV and heat pump adoption
What you'll learn

✓ Apply the minimax regret framework to investment decisions under deep uncertainty

✓ Construct a regret matrix to compare candidate plans against plausible future scenarios

✓ Identify the plan with the smallest worst-case regret and justify it to stakeholders

✓ Distinguish between ordinary uncertainty and deep uncertainty, and know when each planning approach applies
Requirements

● No technical background required. Basic familiarity with numerical reasoning is sufficient. All concepts are explained from first principles.