Prediction of household electricity consumption and effectiveness of concerted intervention strategies based on occupant behaviour and personality traits
Household electricity consumption influenced by various behavioural intervention strategies
is difficult to predict due to the uncertainty that arises from human behaviours and their …
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 …
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 …
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
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 …
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
The urban polycentric structure is connected to the economy and enormously impacts
socioeconomic development and policies. Unlike traffic data and big geographic data …
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 …
with feedback about their energy-consumption levels. Recent studies link the success of …
Industrial energy systems in view of energy efficiency and operation control
Energy efficiency improvement of industrial systems through the application of demand side
management (DSM) techniques is discussed. In particular, a unified classification of …
management (DSM) techniques is discussed. In particular, a unified classification of …
[HTML][HTML] Modelling the impact of social network on energy savings
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 …
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
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 …
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 …
The large scale, complex connections, multi-content and dynamic changes are the …