This paper introduces a methodological approach for evaluating the thermal comfort of building users, captured through social media, in order to evaluate and accordingly adjust energy management action plans. A framework for performing sentiment analysis of messages is developed and a pilot case is presented for optimally scheduling the temperature set-point adjustment of a municipal building, based on user thermal comfort criteria retrieved from social data.
['Evangelos Spiliotis', 'George Anastasopoulos', 'Phaedra Dede', 'Vangelis Marinakis', 'Haris Doukas']
A framework for integrating user experience in action plan evaluation through social media: Transforming user generated content into knowledge to optimise energy use in buildings