Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits

M Shen, Y Lu, KH Wei, Q Cui - Renewable and Sustainable Energy …, 2020 - Elsevier
Household electricity consumption influenced by various behavioural intervention strategies
is difficult to predict due to the uncertainty that arises from human behaviours and their …

Overlapping communities detection of social network based on hybrid C-means clustering algorithm

Y Lei, Y Zhou, J Shi - Sustainable Cities and Society, 2019 - Elsevier
As an important part of social computing, community detection has been attached to more
and more importance in social network analysis. Overlapping communities detection, one of …

Measuring urban spatial interaction in Wuhan Urban Agglomeration, Central China: A spatially explicit approach

J He, C Li, Y Yu, Y Liu, J Huang - Sustainable cities and society, 2017 - Elsevier
In the context of globalization and integration, urban agglomeration gradually becomes the
basic unit of regional competitions. In addition to urban agglomeration system, spatial …

[HTML][HTML] A time of use tariff scheme for demand side management of residential energy consumers in Bangladesh

A Rahman, T Aziz, SR Deeba - Energy Reports, 2021 - Elsevier
The aim of this paper is to develop a new Time of Use (TOU) tariff scheme for Demand Side
Management (DSM) of residential consumers in Bangladesh. In this advanced era of …

Quantitative analysis of urban polycentric interaction using nighttime light data: A case study of Shanghai, China

Y Tu, Z Chen, C Wang, B Yu… - IEEE Journal of Selected …, 2021 - ieeexplore.ieee.org
The urban polycentric structure is connected to the economy and enormously impacts
socioeconomic development and policies. Unlike traffic data and big geographic data …

Multilayer agent-based modeling and social network framework to evaluate energy feedback methods for groups of buildings

E Azar, H Al Ansari - Journal of Computing in Civil Engineering, 2017 - ascelibrary.org
Important energy reductions can be achieved in the building sector by providing occupants
with feedback about their energy-consumption levels. Recent studies link the success of …

Industrial energy systems in view of energy efficiency and operation control

X Xia, L Zhang - Annual Reviews in Control, 2016 - Elsevier
Energy efficiency improvement of industrial systems through the application of demand side
management (DSM) techniques is discussed. In particular, a unified classification of …

[HTML][HTML] Modelling the impact of social network on energy savings

F Du, J Zhang, H Li, J Yan, S Galloway, KL Lo - Applied Energy, 2016 - Elsevier
It is noted that human behaviour changes can have a significant impact on energy
consumption, however, qualitative study on such an impact is still very limited, and it is …

The role of autonomous energy production systems in urban energy networks

R Volpe, M Frasca, A Fichera… - Journal of Complex …, 2017 - academic.oup.com
The technological and normative scenario of energy distribution systems is rapidly
changing, evolving from a hierarchical rigid structure to a more flexible and rich topology …

Dynamics prediction of large-scale social network based on cooperative behavior

R Wang, S Rho - Sustainable Cities and Society, 2019 - Elsevier
With the rapid development of the Internet, the large-scale social network era has arrived.
The large scale, complex connections, multi-content and dynamic changes are the …