Energy Data Analysis with Python

Energy Data Analysis with Python#

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About this book

This book provides practical recipes for analyzing and visualizing energy and comfort time series data using Python. Whether you are new to Python or an experienced user looking for domain-specific recipes, you will find practical examples and ready-to-use code.

This book is also available as a PDF for offline reading: Download PDF

What you will learn#

  • How to use pandas to load, transform, and analyze time series data

  • How to handle datetime objects and time zones correctly

  • How to perform exploratory data analysis (EDA) on building data

  • How to assess data quality — detect gaps, duplicates, and implausible values

  • How to create meaningful visualizations of energy data using pyedautils

  • How to judge indoor comfort with temperature and humidity, including the Mollier h-x diagram