Catalyst with Shayle Kann

AI for climate: a real world test

Jun 15, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
How to Charge and Discharge an Imaginary Battery
02:08 • 3min
3
The Future of Battery Optimization
04:54 • 4min
4
How to Predict Market Prices for Tomorrow
08:48 • 2min
5
How to Estimate the Time It Takes to Turn a Problem Around
11:03 • 2min
6
How to Create a Successful Chatsy PT Challenge
12:45 • 3min
7
The Bosshot Approach to Prompting Software Engineers
15:58 • 2min
8
How to Attack a Decent Junior Level Software Engineer
18:12 • 2min
9
The Pros and Cons of Software Engineering
20:04 • 3min
10
The Importance of Clear Processes in Coding
22:56 • 2min
11
How to Debug a Battery
25:01 • 2min
12
How to Fix an Error in a Model
27:11 • 2min
13
How to Optimize a Battery for a Single Day
28:55 • 2min
14
How to Forecast Location Marginal Prices for Wholesale Power Market World
30:51 • 2min
15
The Importance of Forecasting
32:37 • 3min
16
The Long Journey of Delance
35:37 • 3min
17
How to Build an Optimized Schedule and Forecast Market Settlements
38:57 • 2min
18
The Importance of Forecasting Energy Prices
40:41 • 2min
19
How to Scale a Chat Prompt to Reduce Complexity
42:41 • 2min
20
Python Notebook: How to Define Battery Parameters
44:30 • 4min
21
The Day Ahead Price Retrieval
48:28 • 2min
22
How to Use Dispatch Optimization in a Real World System
50:34 • 5min
23
How to Save Time and Effort
55:20 • 2min
24
How Much Time Did This Take You?
57:24 • 2min
25
How to Hire a Software Engineer
59:34 • 2min
26
The Limitations of Duncan's Software Code Production
01:01:08 • 3min
27
Chat GPT Is in a State of Permaflow
01:04:25 • 2min
28
How to Maximize Net Revenue From a Battery
01:06:10 • 2min
29
The Importance of Chat GPT in EV Fleet Management
01:08:08 • 3min
30
The Disruption of Blockchain
01:11:21 • 2min
31
The Future of Efficiency Improvement
01:13:15 • 4min
32
How to Be Agile in the Face of Climate Change
01:17:36 • 2min