Statistical Modelling of Occupant Behaviour

The book "Statistical Modelling of Occupant Behaviour" is a classic textbook on statistics that covers a range of statistical methods and models used for modelling energy- and comfort-related occupant behaviour in buildings. It focuses on traditional statistical techniques based on the likelihood principle and provides practical examples related to occupant behaviour. The book is written for researchers and advanced practitioners who work with real-world applications and modelling of occupant data and offers a theoretical overview of these methods before applying them to the study of occupant behaviour using examples in the R environment.

Format: Hardback
Length: 366 pages
Publication date: 26 January 2024
Publisher: Taylor & Francis Ltd

Do you have data on occupant behavior, indoor environment, or energy use in buildings? Are you interested in statistical analysis and modeling? Do you have a specific (research) question and dataset, and would you like to know how to answer the question with the data available?

Statistical Modelling of Occupant Behaviour is a comprehensive textbook that covers a range of statistical methods and models used for modelling energy- and comfort-related occupant behaviour in buildings. It is a classical textbook on statistics, including many practical examples related to occupant behaviour that are either taken from real research problems or adapted from such.

The main focus of the book is on traditional statistical techniques based on the likelihood principle, which can be applied to occupant behaviour modelling. These techniques include general, generalised linear and survival models, mixed effect and hierarchical models, linear time series and Markov models, linear state space and hidden Markov models, and illustration of all methods using occupant behaviour examples implemented in R.

The built environment affects occupants who live and work in it, and occupants affect the built environment by adapting it to their needs. These adaptive behaviours account for great uncertainty in the prediction of building energy use and indoor environmental conditions. Occupant behaviour is complex and multi-disciplinary, but it can be successfully modelled using statistical approaches.

Statistical Modelling of Occupant Behaviour is written for researchers and advanced practitioners who work with real-world applications and modelling of occupant data. It describes the kinds of statistical models that may be used in various occupant behaviour scenarios, such as energy consumption, comfort, and indoor air quality. The book provides detailed explanations of the statistical concepts and methods used in each model, as well as practical examples and case studies to illustrate their application.

Overall, Statistical Modelling of Occupant Behaviour is a valuable resource for anyone interested in understanding and modelling occupant behaviour in buildings. It provides a comprehensive and up-to-date overview of the field, with a focus on practical applications and real-world data. Whether you are a researcher, practitioner, or student, this book will help you gain a deeper understanding of the complex dynamics between occupants and their indoor environments and how statistical modelling can help us improve building energy efficiency, comfort, and health.

Weight: 870g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032334608