scholarly journals Socio-economic determinants of energy consumption: An empirical survey for Greece

2016 ◽  
Vol 57 ◽  
pp. 1556-1567 ◽  
Author(s):  
Muhammad Azam ◽  
Abdul Qayyum Khan ◽  
Eleni Zafeiriou ◽  
Garyfallos Arabatzis
2013 ◽  
Vol 38 (1) ◽  
pp. 27-46 ◽  
Author(s):  
Manfred Lenzen ◽  
Murukesan Krishnapillai ◽  
Deveraux Talagi ◽  
Jodie Quintal ◽  
Denise Quintal ◽  
...  

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 907 ◽  
Author(s):  
Anna Kowalska-Pyzalska ◽  
Katarzyna Byrka

This paper analyses attitudinal and socio-economic determinants of the householders’ willingness to monitor their energy consumption. Residential consumers can monitor their energy consumption by means of traditional (electricity bill) and modern tools (smart metering information platforms, SMP). Within this empirical study we test the effect of environmental attitudes, knowledge and perceived possibilities on consumers’ stages of readiness to adopt SMP based the stage model of self-regulated behavioral change (SSCB). Perceived possibilities to monitor energy consumption on a regular basis was found to be the predictor of adoption in every examined stage of readiness. General knowledge predicted adoption of the stage in which consumers declared willingness to learn know-how of using SMP. The results suggest that an effectiveness of educational campaigns may be restricted to only some consumers.


Proceedings ◽  
2018 ◽  
Vol 2 (22) ◽  
pp. 1382 ◽  
Author(s):  
Daiva Dumciuviene ◽  
Akvile Cibinskiene ◽  
Mark Melenhorst ◽  
Jasminko Novak

In this paper the energy saving behavior and its impacting determinants in schools are analyzed. There is a large number of research on energy saving behavior in residential buildings. However large fraction of the total energy is consumed in public buildings and schools. The issues of sustainable energy consumption behavior are less studied in these types of buildings. Based on the research on energy consumption in residential buildings the determinants of sustainable energy consumption in schools were classified into three groups: psychological and social; socio-demographic and economic determinants; and contextual determinants. A systematic literature review was conducted for the substantially less investigated schools in terms of efficient energy consumption. According the review of research papers, the most important determinants of energy consumption in schools in terms of their influence on consumption were identified: attitudes; incentives/intentions/motivation; knowledge; awareness.


2021 ◽  
Vol 8 (2) ◽  
pp. 58-66
Author(s):  
Saddam Hussain ◽  
Chunjiao Yu ◽  
Liu Wan

The relationship between energy consumption and economic growth is a hot issue in today's society. This paper aims to empirically verify the relationship between energy consumption and economic growth. This article analyzes the relation of energy consumption with the economic growth taking the case of South Asian countries (Afghanistan, Bangladesh, Bhutan, India, Pakistan, Sri Lanka, and Nepal) along with the macroeconomic determinants that affect the total economic growth – FDI growth, CPI rate and population growth in order to avoid omitted variable bias and misleading results. The time span of this study covers the period of 1980–2019. To examine the significant relation of these determinants and impact of energy consumption on economic growth, In-pooled regression, Fixed-effects, Bidirectional fixed effect, Random-effects, and GLS estimation regression model are used. The estimated results show a positive correlation of energy consumption and all other economic determinants with economic growth except CPI, where there is a negative correlation founded.


Author(s):  
Shahzeen Z. Attari ◽  
Michael L. DeKay ◽  
Cliff I. Davidson ◽  
Wandi Bruine de Bruin

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Shunquan Huang ◽  
Siqin Yu ◽  
Zhongmin Liu

2020 ◽  
Vol 39 (4) ◽  
pp. 5449-5458
Author(s):  
A. Arokiaraj Jovith ◽  
S.V. Kasmir Raja ◽  
A. Razia Sulthana

Interference in Wireless Sensor Network (WSN) predominantly affects the performance of the WSN. Energy consumption in WSN is one of the greatest concerns in the current generation. This work presents an approach for interference measurement and interference mitigation in point to point network. The nodes are distributed in the network and interference is measured by grouping the nodes in the region of a specific diameter. Hence this approach is scalable and isextended to large scale WSN. Interference is measured in two stages. In the first stage, interference is overcome by allocating time slots to the node stations in Time Division Multiple Access (TDMA) fashion. The node area is split into larger regions and smaller regions. The time slots are allocated to smaller regions in TDMA fashion. A TDMA based time slot allocation algorithm is proposed in this paper to enable reuse of timeslots with minimal interference between smaller regions. In the second stage, the network density and control parameter is introduced to reduce interference in a minor level within smaller node regions. The algorithm issimulated and the system is tested with varying control parameter. The node-level interference and the energy dissipation at nodes are captured by varying the node density of the network. The results indicate that the proposed approach measures the interference and mitigates with minimal energy consumption at nodes and with less overhead transmission.


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