- genre: lighting talk
- title: Enhancing consumer insights through simulation-driven adaptive surveys: coupling energy models with household surveys
- presenter: @Matteo.Barsanti
- description: To investigate the household energy behavior, we designed a simulation-driven adaptive survey. This innovative tool improves on conventional surveys by integrating an energy demand simulation model. Essentially, survey participants are presented with hypothetical scenarios and are asked to indicate whether and how they would change their behavior in response. The energy demand model is embedded within the survey, functioning as a real-time decision support tool and allowing users to iteratively evaluate the potential impact of their actions in a personalized manner before submitting their final responses. Beyond the scope of this case study, we aim to emphasize the broader potential of the modeling tools we develop to actively engage and empower citizens in understanding and managing their energy consumption.
- optional link to the code repository: energy demand model - demod
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