Technoeconomics of Electricity Grid Assets using Python

我们着眼于电力基础设施资产，即发电站（所有不同类型）——它们的技术和经济特征，以及储能单元以及其他电网资产。

我们使用 Python 和 Excel 对技术特征进行建模，以便更好地理解它们。我们对所有不同类型的技术都这样做。

本课程的想法是您了解这些资产的运作方式，然后在客户需要时在数据科学模型中对它们进行建模。

谁

我是一名研究员，我使用数学优化和数据科学领导行业项目。我有博士学位。伦敦帝国理工学院的分析和数学优化专业，特别是将其应用于能源投资。目前，他对投资背景下的不确定性建模感兴趣。

重要的

不需要任何先决条件和经验。

每个细节都有解释，这样您就不必在网上搜索或猜测。最后，您会对自己的知识和技能充满信心。

我们从头开始，因此您根本不需要提前做任何准备工作。只需按照屏幕上显示的内容进行操作，因为我们会慢慢了解所有内容。

Published 10/2022
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 56 lectures (5h 3m) | Size: 2.3 GB

Economics & Data Analysis (Python & Optimisation/ pyomo) applied to Electricity Grid assets

What you’ll learn
Theory of electricity generation assets
Technical characteristics of Electricity Generation Assets
Python: How electricity generators determine the wholesale electricity price
Economics of Power Stations. Part 1: Costs
Economics of Power Stations. Part 2: Revenue (subsidies)
Optimization: Market Strategy for an Electricity Generation company
Theory & Technoeconomics of Energy Storage using Python

Requirements
No prerequisites other than simple Python.

Description
What is the course about

We look at the electricity infrastructure assets i.e. Power Stations (all different types) – their technical & economic characteristics, and Energy Storage units as well as other Grid assets.

We use Python and Excel to model the technical characteristics in order to understand them even better. We do this for all different types of technologies.

The idea of this course is that you understand how these assets operate, and then model them in the Data Science model, if necessary for the client.

Who

I am a research fellow and I lead industry projects using mathematical optimization and data science. I have a Ph.D. in Analytics & Mathematical Optimization, from Imperial College London, and specifically, have applied it to Energy investments. Currently he is interested in uncertainty modeling in the context of investments.

Important

No prerequisites and no experience are required.

Every detail is explained, so that you won’t have to search online, or guess. In the end, you will feel confident in your knowledge and skills.

We start from scratch so that you do not need to have done any preparatory work in advance at all. Just follow what is shown on screen, because we go slowly and understand everything in detail.

Who this course is for
Enterpreneurs.
Economists.
Quants
Finance professionals
Investment Bankers
Academics.
Postgraduate and PhD students.
Data Scientists