The rising demand for energy conservation in residential buildings has increased interest in
load monitoring techniques by exploiting energy consumption data. In recent years …

Understanding and changing household energy consumption behavior are considered as
effective ways to improve energy efficiency and promote energy conservation. With the …

In this paper we evaluate the impact of knowledge about environmental and energy issues
on potential pro-environmental behaviour in households, specifically relating to behaviours …

The nexus between health and the adoption of clean energy has gained increasing
significance, spurring a surge of research in this area. However, the current status of …

Buildings contribute to over one third of global energy-related carbon emissions, on which
occupant behavior attains a significant impact. Occupant behavior is influenced by both …

Households are responsible for 70% of CO 2 emissions (directly and indirectly). While
households as agents of change increasingly become a crucial element in energy …

Changing energy consumption behavior is a promising strategy to enhance household
energy efficiency and to reduce carbon emission. Understanding the role of psychological …

Practical application of deep learning based non-intrusive load monitoring (NILM) system
requires the deep neural network model to generalize on new unseen data. Existing NILM …

Residential energy feedback is about providing personalized information on household
energy use to consumers to encourage energy savings. This paper conducts a review of …

In the multidisciplinary research field of behavior change towards residential energy
efficiency and conservation, feedback has been extensively used as a tool to increase the …