Description
The first aim of the module is to introduce the scientific theory and application of statistical analysis to smart energy data. Data visualization, sampling methods and hypothesis testing are presented, followed by inferential statistics such as parametric t-tests and analysis methods ranging from descriptive statistics to correlation and multivariate analysis using RStudio. You will learn to carry out simple data analysis tasks using energy related data, an essential skill for any career path in the Smart Energy sector. The module also introduces students to how the Internet of Things technologies, combined with energy data monitoring and control technologies, may be applied in the built environment. Their increasingly important role in reducing costs and increasing efficiency and customer satisfaction is discussed. The module assumes no prior knowledge of Statistics.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
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