| 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 |
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.
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