Technical requirements

Some parts of this chapter require access to the DataRobot software and some tools for data manipulation. Most of the examples deal with small datasets and therefore can be handled via Excel. The dataset that we will be using in this chapter is described next.

Appliances energy prediction dataset

This dataset can be accessed at the University of California Irvine (UCI) Machine Learning Repository (https://archive.ics.uci.edu/ml/datasets/Appliances+energy+prediction#).

Dataset citation

Luis M. Candanedo, Véronique Feldheim, Dominique Deramaix, Data driven prediction models of energy use of appliances in a low-energy house, Energy and Buildings, Volume 140, 1 April 2017, Pages 81-97, ISSN 0378-7788.

This dataset captures temperature and humidity in various rooms in a house and in the outside environment, along with energy consumption by various devices over time. The data is captured every 10 minutes. This is a typical example of a time series...