Recommendation System for Energy Consumption Behavior Change on Residents’ Response and Stress

2021 ◽  
Author(s):  
Yuki Takayama ◽  
Yuiko Sakuma ◽  
Hiroaki Nishi
Keyword(s):  
Energy Consumption ◽  
Behavior Change ◽  
Recommendation System ◽  
Consumption Behavior

scholarly journals Promoting Sustainable Energy Consumption Behavior through Interactive Data Visualizations

2019 ◽  
Vol 3 (3) ◽  
pp. 56 ◽  
Author(s):  
Thomas Rist ◽  
Masood Masoodian
Keyword(s):  
Energy Consumption ◽  
Behavior Change ◽  
User Behavior ◽  
Behavior Changes ◽  
Change Model ◽  
Consumption Behavior ◽  
Wide Range ◽  
Interactive Visualizations ◽  
Interactive Data ◽  
Data Visualizations

With an increasing worldwide need for energy and the ever-decreasing availability of energy resources, a wide range of interactive visualizations are being developed to allow people to use energy more efficiently by monitoring their consumption patterns and changing their energy usage behavior. For these visualizations to achieve their aim, they must not only target people’s energy saving objectives but also support the necessary factors that help people to change their underlying energy consumption behavior. In this paper, we survey several categories of existing interactive energy visualizations and through a number of selected examples in each case, identify possible potentials for supporting any user behavior changes. For this survey, we have used the behavior change model originally proposed by B. J. Fogg, which defines three factors of motivation, trigger and ability. Our survey has shown that most existing interactive visualizations target the motivation factor, with some supporting trigger or ability and only a few dealing with all the three factors of the behavior change model.

scholarly journals The Impact of Smart Meter Installation on Attitude Change Towards Energy Consumption Behavior Among Northern Ireland Households

2020 ◽  
Vol 28 (4) ◽  
pp. 21-37
Author(s):  
Roya Gholami ◽  
Ali Emrouznejad ◽  
Yazan Alnsour ◽  
Hasan B. Kartal ◽  
Julija Veselova
Keyword(s):  
Energy Consumption ◽  
Northern Ireland ◽  
Attitude Change ◽  
Deep Understanding ◽  
Smart Meter ◽  
Smart Meters ◽  
Consumption Behavior ◽  
Energy Management Systems ◽  
Energy Consumption Patterns ◽  
The Impact

The continuous development of energy management systems, coupled with a growing population, and increasing energy consumption, highlights the necessity to develop a deep understanding of household energy consumption behavior and interventions that facilitate behavioral change. Using a data mining segmentation technique, 2,505 Northern Ireland households were segmented into four distinctive profiles, based on their energy consumption patterns, socio-demographic, and dwelling characteristics. The change in attitude towards energy consumption behavior was analyzed to evaluate the impact of smart meter feedback as well. The key finding was 81% of trial participants perceived smart meters to be helpful in reducing their energy consumption. In addition, we found that the potential to reduce energy bills and environmental concerns were the strongest motivations for behavior change.

scholarly journals Effect of IoT Capabilities and Energy Consumption behavior on Green Supply Chain Integration

2018 ◽  
Vol 8 (12) ◽  
pp. 2481 ◽  
Author(s):  
Muhammad Shafique ◽  
Ammar Rashid ◽  
Imran Bajwa ◽  
Rafaqat Kazmi ◽  
Muhammad Khurshid ◽  
...  
Keyword(s):  
Supply Chain ◽  
Energy Consumption ◽  
Survey Methods ◽  
Partial Least Square ◽  
Supply Chain Integration ◽  
Green Supply Chain ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Consumption Behavior ◽  
Supplier Integration

The Internet of Things (IoT) is the next generation of internet-connected information communication technologies (ICT). IoT typically integrates supply chain activities to enhance green supply chain performance (GSCP). Since every organization has different IoT capabilities in comparison with other organizations, GSCP can enable supply chain integration activities for enhanced performance. The implementation of an IoT system can reduce the consumption of organizational resources like energy, electricity, and time and can increase the operational speed to gain better logistics and, ultimately, improved supply chain performance. This study has developed and empirically tested the relationship between IoT capabilities, energy consumption behavior (ECB), supply chain integration, green training (GT), and supply chain practices. Such a multidisciplinary relationship has not previously been established in the literature. The proposed study can fulfill the literature gap and opens new horizons for interdisciplinary research. Data used in this study are collected through offline and online survey methods. A total number of 250 out of 400 respondents participated in the survey. Data has been analyzed through partial least square—structure equation modeling (PLS—SEM) technique. The results of this study empirically test the developed model. IoT has a positive effect on supplier integration (SI), and customer integration (CI). Furthermore, SI and CI have a mediating role between IoT and GSCP, and GT has a positive impact on GSCP. It is concluded that the implementation of IoT can integrate CI and SI to increase GSCP. GT and ECB can ultimately improve GSCP. Additionally, the use of technology and GT can motivate employees to save energy and protect the environment to increase GSCP.

scholarly journals How Much Energy Efficient are Renewable Energy Sources Cooperatives’ Initiatives?

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1136 ◽  
Author(s):  
Nikolaos Sifakis ◽  
Tryfon Daras ◽  
Theocharis Tsoutsos
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Smart Meters ◽  
Green Consumption ◽  
Consumption Behavior ◽  
The Difference ◽  
Actual Energy Consumption

In this paper is provided a systematic, in-depth, behavioral analysis of renewable energy sources cooperatives’ members. The analysis proved that in, on hand, there was a noticeable difference in the portion of affection of each proposed intervention on the actual energy consumption, which may be to even ten times more in some cases, and on the other hand, the difference in energy consumption between the analyzed groups was noticeable as well. So, implementing energy efficiency interventions of various types, such as technical support, special tariffs, energy generation schemes, and smart meters, seems to lead to substantial energy reductions to even more than 10%, cumulatively, and reduces the environmental footprint. Additionally, the majority of energy efficiency interventions applied by the renewable energy sources cooperatives are proved to be effective in achieving their primary goal, sensitizing members, and leading them to a more efficient energy consumption behavior (“greener”). The results of the analysis showed that each proposed intervention had played a different but nonetheless significant role in the diminishing of the energy consumption of the members and that there was a noticeable difference in energy consumption between the analyzed groups. The results of the analysis demonstrated more than 22 GWh totally in green consumption, and almost 4500 tons of CO2 saved.

Presenting a model for evaluating Internet advertisements for modification of energy consumption

2017 ◽  
Vol 8 (1) ◽  
pp. 32-42 ◽  
Author(s):  
Javad Khazaei Pool ◽  
Reza Salehzadeh ◽  
Rashid Khalilakbar
Keyword(s):  
Energy Consumption ◽  
Electricity Market ◽  
Structural Equation ◽  
Equation Model ◽  
Survey Study ◽  
Research Model ◽  
Content Type ◽  
Consumption Behavior ◽  
Internet Advertisement ◽  
The Impact

Purpose Limitations of producing energy and the increasing demands in the electricity market in Iran have not only drawn the attention of authorities in the energy industry toward optimization of energy consumption, but also created marketing approaches toward these objectives. In this respect, it is important and even necessary to modify energy consumption behaviors. The purpose of this study is to examine the impact of the criteria of an effective Internet advertisement for modification of energy consumption. Design/methodology/approach To provide a detailed understanding of customers’ perceptions of energy consumption advertising, a survey study was conducted. The research model is first validated and the formulated hypotheses are tested using the structural equation model (SEM). Findings The results showed that the audience’s attention, interest and desire for a piece of advertisement can predict their consumption behavior. Originality/value This study is one of the pioneer studies that highlights the importance of advertising toward modification of energy consumption. It seems that, the identification of the causal relations among attention, interest, desire and action, has not yet been clearly validated in the previous literature. This research contributes to the literature by developing and testing a comprehensive research model using SEM. So, the current paper offers vital guidelines to social marketers who are planning to modify energy consumption.

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