Understanding household energy consumption behavior: The contribution of energy big data analytics

K Zhou, S Yang - Renewable and Sustainable Energy Reviews, 2016 - Elsevier
Understanding and changing household energy consumption behavior are considered as
effective ways to improve energy efficiency and promote energy conservation. With the …

A systematic review on feedback research for residential energy behavior change through mobile and web interfaces

IM Chatzigeorgiou, GT Andreou - Renewable and Sustainable Energy …, 2021 - Elsevier
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 …

Examining energy saving behaviors in student dormitories using an expanded theory of planned behavior

J Du, W Pan - Habitat international, 2021 - Elsevier
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 …

Environmental knowledge, pro-environmental behaviour and energy savings in households: An empirical study

M Pothitou, RF Hanna, KJ Chalvatzis - Applied Energy, 2016 - Elsevier
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 …

[HTML][HTML] Demand-side solutions for climate mitigation: Bottom-up drivers of household energy behavior change in the Netherlands and Spain

L Niamir, O Ivanova, T Filatova, A Voinov… - Energy Research & …, 2020 - Elsevier
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 …

Generalizability improvement of deep learning-based non-intrusive load monitoring system using data augmentation

H Rafiq, X Shi, H Zhang, H Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

Interaction between household energy consumption and health: A systematic review

H Li, Y Li, G Zheng, Y Zhou - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
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 …

[HTML][HTML] Psychological and demographic factors affecting household energy-saving intentions: a TPB-based study in Northwest China

X Liu, Q Wang, HH Wei, HL Chi, Y Ma, IY Jian - Sustainability, 2020 - mdpi.com
Changing energy consumption behavior is a promising strategy to enhance household
energy efficiency and to reduce carbon emission. Understanding the role of psychological …

The influence of information privacy concerns and perceived electricity usage habits on the usage intention of advanced metering infrastructure

DH Ryu, KJ Kim - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
According to the increase in electricity consumption in residential buildings, advanced
metering infrastructures (AMIs) have been widely installed in residential buildings. AMIs help …

A real-life assessment on the effect of smart appliances for shifting households' electricity demand

CBA Kobus, EAM Klaassen, R Mugge… - Applied Energy, 2015 - Elsevier
Today's major developments in the production and demand of electricity in domestic areas
make it increasingly important that domestic electricity demand can respond to the …