scholarly journals A Soft Computing Framework to Support Consumers in Obtaining Sustainable Appliances from the Market

2020 ◽  
Vol 10 (9) ◽  
pp. 3206
Author(s):  
Ricardo Santos ◽  
António Abreu ◽  
José Soares ◽  
Fernanda Mendes ◽  
João M.F. Calado
Keyword(s):  
Evolutionary Algorithms ◽  
Co2 Emissions ◽  
Soft Computing ◽  
Water Consumption ◽  
Economic Sectors ◽  
Household Appliances ◽  
Sustainable Solutions ◽  
Initial Cost ◽  
Computing Framework

Currently, sustainability is considered a priority by society, with the household appliances being one of the economic sectors involved in achieving sustainability. However, the existence of several issues (e.g., energy and water consumption, reliability, initial cost, and illuminance, among others) together with the diversity of brands and models on the market, make the consumer’s decisions regarding sustainable options difficult, according to their concerns and related to each sustainability dimension (economic, environmental, and social). By combining evolutionary algorithms (EA) with multicriteria techniques, it is possible to achieve sustainable solutions for the consumer based on their requirements. In this paper, a method is presented to support the consumer by obtaining a set of sustainable household appliances on the market that suit their preferences, concerns, and needs. By using a case study to apply the approach developed here, a set of sustainable appliances from the market is obtained, where several benefits are achieved (e.g., energy and water consumption savings, avoidance of CO2 emissions) during the lifecycle of each appliance, chosen from the appliance’s industry.

scholarly journals Using Evolutionary Algorithms to Achieve Sustainable Solutions through Household Appliances

2019 ◽  
Vol 11 (2) ◽  
pp. 69-76
Author(s):  
Ricardo Santos ◽  
J. C. O. Matias ◽  
Antonio Abreu
Keyword(s):  
Evolutionary Algorithms ◽  
Co2 Emissions ◽  
Water Consumption ◽  
Optimization Technique ◽  
Relative Importance ◽  
Consumer Decision ◽  
Household Appliances ◽  
Sustainable Solutions ◽  
Good Compromise ◽  
Social Concerns

 In order to reach a sustainable planet, there is a permanent need by the consumer (decision- agent), to achieve sustainable solutions, with its decisions. Given the importance of the buildings, as a sector to achieve such solutions, as well as the diversity of household appliances existent on the market, with all its different issues, there are several tradeoffs to consider (e.g. energy and water consumption vs initial investment), which difficult the consumer’s choices from the market. The problem increases, since nowadays, the consumer tries to get a solution from the market, with a good compromise between the Economic, Social and Environmental dimensions, and according to its specific needs, which can be different from other consumers. By considering a multicriteria approach, combined with an optimization technique, based on Evolutionary Algorithms (EA), it’s provided a set of sustainable solutions from the market to the consumer that respects the compromise referred before. In this work, it is presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on household appliances from the market and suitable to its needs. Based on the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions), by considering the consumer’s relative importance, regarding its Economics, Environmental and Social concerns.

scholarly journals A Decision Support Approach to Provide Sustainable Solutions to the Consumer, by Using Electrical Appliances

2019 ◽  
Vol 11 (4) ◽  
pp. 1143 ◽  
Author(s):  
João Matias ◽  
Ricardo Santos ◽  
Antonio Abreu
Keyword(s):  
Energy Efficiency ◽  
Decision Support ◽  
Evolutionary Algorithms ◽  
Co2 Emissions ◽  
Water Consumption ◽  
Optimization Technique ◽  
Relative Importance ◽  
Sustainable Solutions ◽  
Knowing That

The diversity of energy efficiency appliances existent on the market, with all its different issues, contributes to the existence of several tradeoffs (e.g., energy and water consumption vs. initial investment), which make the consumer’s choices in the market difficult. This becomes even more relevant, by knowing that nowadays a consumer tries to get a solution from the market, with a good compromise between the economic, social and environmental dimensions, and according to its priorities and specific needs, which can be different from other consumers. By adopting a multicriteria approach, combined with an optimization technique, based on evolutionary algorithms (EA), it will be possible to provide a set of sustainable solutions from the market to the consumer, that respects the compromise referred before. In this work, it will be presented an approach to support a decision-agent (DA) (consumer), by performing a set of sustainable choices based on electrical appliances, from the market and suitable to its needs. The method will be applied to a case study, to demonstrate its application. Regarding the obtained solutions, several savings are achieved (electrical and water consumption, CO2 emissions) by taking into account the consumer’s relative importance, regarding each dimension considered.

scholarly journals Water consumption forecasting using soft computing – a case study, Trinidad and Tobago

2020 ◽  
Vol 20 (8) ◽  
pp. 3576-3584
Author(s):  
Lee P. Leon ◽  
Barkha Chaplot ◽  
Akil Solomon
Keyword(s):  
Soft Computing ◽  
Water Consumption ◽  
Seasonal Changes ◽  
Gene Expression Programming ◽  
Urban Water ◽  
Domestic Water ◽  
Soft Computing Techniques ◽  
Consistent Method ◽  
The Relationship

Abstract Water scarcity is one of the world's fastest growing epidemics. Therefore, to combat it or mitigate the risks one must first understand how water is being consumed. This study focuses on the analysis of domestic water consumption with reference to how much of it is being consumed. Additionally, the study aims to propose an applicable and consistent method to forecast urban water consumption by using soft computing techniques. The investigation highlights the hourly, daily and monthly water consumption levels as well as the relationship between climate change and water demand using gene expression programming (GEP). The results of the study are relatively promising as it demonstrates that GEP can predict water consumption incorporating seasonal changes of wet and dry periods.

Development of a novel soft-computing framework for the simulation aims: a case study

2018 ◽  
Vol 35 (1) ◽  
pp. 315-322 ◽  
Author(s):  
Wei Gao ◽  
Masoud Karbasi ◽  
Ali Mahmodi Derakhsh ◽  
Ahmad Jalili
Keyword(s):  
Soft Computing ◽  
Computing Framework

Determinants and barriers of PV self-consumption in Spain from the perception of the installers for the promotion of distributed energy systems

2020 ◽  
pp. 153-169
Author(s):  
José Ángel Gimeno ◽  
Eva Llera Sastresa ◽  
Sabina Scarpellini
Keyword(s):  
European Union ◽  
Energy Transition ◽  
Legal Framework ◽  
Low Carbon ◽  
The European Union ◽  
Distributed Energy ◽  
Sustainable Solutions ◽  
Highly Sensitive ◽  
Transition Scenario

Currently, self-consumption and distributed energy facilities are considered as viable and sustainable solutions in the energy transition scenario within the European Union. In a low carbon society, the exploitation of renewables for self-consumption is closely tied to the energy market at the territorial level, in search of a compromise between competitiveness and the sustainable exploitation of resources. Investments in these facilities are highly sensitive to the existence of favourable conditions at the territorial level, and the energy policies adopted in the European Union have contributed positively to the distributed renewables development and the reduction of their costs in the last decade. However, the number of the installed facilities is uneven in the European Countries and those factors that are more determinant for the investments in self-consumption are still under investigation. In this scenario, this paper presents the main results obtained through the analysis of the determinants in self-consumption investments from a case study in Spain, where the penetration of this type of facilities is being less relevant than in other countries. As a novelty of this study, the main influential drivers and barriers in self-consumption are classified and analysed from the installers' perspective. On the basis of the information obtained from the installers involved in the installation of these facilities, incentives and barriers are analysed within the existing legal framework and the potential specific lines of the promotion for the effective deployment of self-consumption in an energy transition scenario.

Cyber crimes in the banking sector: Case study of Vietnam

2020 ◽  
Vol 6 (05) ◽  
Author(s):  
LE Thanh Tam ◽  
Nguyen Minh Chau ◽  
Pham Ngoc Mai ◽  
Ngo Ha Phuong ◽  
Vu Khanh Huyen Tran
Keyword(s):  
Financial Literacy ◽  
Commercial Banks ◽  
Banking Sector ◽  
Secondary Data ◽  
Legal Framework ◽  
Economic Sectors ◽  
Technological Revolution ◽  
Survey Results ◽  
Cyber Crimes

The technological revolution 4.0 brings great opportunities, but also cybercrimes to economic sectors, especially to banks. Using secondary data and survey results of 305 bank clients, the main findings of this paper are: (i) there are several types of cybercrimes in the banking sector; (ii) Vietnam is one of the top countries worldwide having hackers and being attacked by hackers, especially the banking sector. Three most common attacks are skimming, hacking and phishing. Number of cybercrime attacks in Vietnam are increasing rapidly over years; (iii) Vietnamese customers are very vulnerable to cybercrime in banking, as more than 58% seem to hear about cybercrimes, and how banks provide services to let them know about their transactions. However, more than 50% do not have any deep knowledge or any measures for preventing cybercrime; (iii) Customers believe in banks, but do not think that banks can deal with cybercrime issues well. They still feel traditional transactions are more secure than e-transactions; (iv) the reasons for high cybercrimes come from commercial banks (low management and human capacity), supporting environment (inadequate), legal framework (not yet strong and strict enough on cybercrimes), and clients (low level of financial literacy). Therefore, several solutions should be carried out, from all stakeholders, for improving the cybersecurity in Vietnamese banks. 

scholarly journals Forecasting rainfall using soft computing techniques – A case study using India rainfall data

2019 ◽  
Vol 561 ◽  
pp. 012119
Author(s):  
Binoy B Nair ◽  
S Silamparasu ◽  
R Mohnish ◽  
T S Deepak ◽  
M Rahul
Keyword(s):  
Soft Computing ◽  
Rainfall Data ◽  
Soft Computing Techniques

scholarly journals Analysis of CO2 Emissions from Industrial Parks: A Case Study in Ho Chi Minh City, Vietnam

2021 ◽  
Vol 1092 (1) ◽  
pp. 012084
Author(s):  
T LVan ◽  
V T T Ho ◽  
H D T Thanh ◽  
N T Thong ◽  
Q Huynh ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Ho Chi Minh City ◽  
Industrial Parks
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