Electricity Demand Analysis Using Data Science
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.55 GB | Duration: 3h 14m
Using Python
What you'll learn
How to actually use Data Science to gain insights about Energy Storage
Modelling key concepts of electricity demand: load factors, normalization, peakiness, plots
Specialized electricity demand analyses - sector analyses
Duration curves - residual, load duration, decomposition
Data analysis on electricity demand - pivot tables, updates
Country-level electricity demand analyses
Part of the giannelos dot com official certificate for high-tech projects.
Requirements
The only prerequisite is to take the first course of the "giannelos dot com" program , which is the course "Data Science Code that appears all the time at workplace".
Description
What is the course about:This course teaches how to use Data Science in order to get insights about Electricity Demand. First, we explore fundamental concepts about electricity demand such as the load factors, normalization, peakiness as well as how to accurately plot the electricity demand.We then mention a special case of demand analysis done with electricity grids.Furthermore, we model electricity demand duration curves: net load, residual load duration curve, and decomposition.We also conduct data analysis on electricity demand datasets as well as calculate the total annual energy demand of a country.Who:I am a research fellow and I lead industry projects related to energy investments using mathematical optimisation and data science. Specialized in the Data Science aspect of the Green Energy transition, focused on algorithmic design and optimisation methods, using economic principles. Doctor of Philosophy (PhD) in Analytics & Mathematical Optimization applied to Energy Investments, from Imperial College London ...
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