Statistical modelling of energy consumption data, with emphasis on measuring the effects of intervention

Human behaviour often exhibits highly complicated patterns that change over time. This is particularly true for high-density data, such as energy consumption data, and data on constructs that are difficult to measure, such as attitudes and beliefs. The currently available models are not sophisticated enough to accurately describe these patterns. The goal of this research is to use and further develop dynamic model that resolves these limitations. These models will be used to gain understanding in both the short term and long term efficiency of energy saving measures and interventions aimed at influencing energy consumption.

Researchers and partners

Behavioural and Social Sciences, Psychology

• prof.dr.E.M. (Linda) Steg, Environmental Psychology
• dr. C.J. (Casper) Albers, Psychometrics and Statistics
• Nitin Bhushan, MSc, Psychometrics and Statistics
• prof.dr.R.R. (Rob) Meijer, Psychometrics and Statistics

Results

Successful grant proposals and other achievements

• NWO 406-13-006
• Rijksdienst voor Ondernemend Nederland, TEGB113027

University's focus areas

• Energy