A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective

Alkawsi, Gamal; Ali, Nor’ashikin; Mustafa, Abdulsalam Salihu; Baashar, Yahia; Alhussian, Hitham; Alkahtani, Ammar Ahmed; Tiong, Sieh Kiong; Ekanayake, Janaka

doi:10.1016/j.aej.2020.07.002

Cited by 60 publications

(51 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the adoption of IT applications by consumers faces many obstacles that require in-depth analysis. Barriers to the adoption of electronic and smart metres by consumers were studied using UTAUT2 [ 79 ].…”

Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

“…Research design refers to the general strategy selected by the researcher to integrate various components of a study coherently and logically. Shifting study planning into longitudinal study is also a pattern for prospective researchers because observing how market expectations continue over time is interesting [ 13 , 18 , 20 , 73 , 74 , 79 ]. Furthermore, the transversal nature of a data collection method hinders the appropriate assessment of users’ behavioural development.…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, researchers are advised to focus on other nations, particularly developing countries, to determine whether the moderate results and gender norms will continue. Future researchers should consider comparing two or more nations [ 18 , 74 , 79 ]. Other authors have chosen local tourists, and academics can conduct a comparative study with samples consisting of foreign and domestic tourists in a multinational context [ 13 , 53 , 55 , 87 , 98 ].…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

View full text Add to dashboard Cite

Topical treatments with structural equation modelling (SEM) and an artificial neural network (ANN), including a wide range of concepts, benefits, challenges and anxieties, have emerged in various fields and are becoming increasingly important. Although SEM can determine relationships amongst unobserved constructs (i.e. independent, mediator, moderator, control and dependent variables), it is insufficient for providing non-compensatory relationships amongst constructs. In contrast with previous studies, a newly proposed methodology that involves a dual-stage analysis of SEM and ANN was performed to provide linear and non-compensatory relationships amongst constructs. Consequently, numerous distinct types of studies in diverse sectors have conducted hybrid SEM–ANN analysis. Accordingly, the current work supplements the academic literature with a systematic review that includes all major SEM–ANN techniques used in 11 industries published in the past 6 years. This study presents a state-of-the-art SEM–ANN classification taxonomy based on industries and compares the effort in various domains to that classification. To achieve this objective, we examined the Web of Science, ScienceDirect, Scopus and IEEE Xplore® databases to retrieve 239 articles from 2016 to 2021. The obtained articles were filtered on the basis of inclusion criteria, and 60 studies were selected and classified under 11 categories. This multi-field systematic study uncovered new research possibilities, motivations, challenges, limitations and recommendations that must be addressed for the synergistic integration of multidisciplinary studies. It contributed two points of potential future work resulting from the developed taxonomy. First, the importance of the determinants of play, musical and art therapy adoption amongst autistic children within the healthcare sector is the most important consideration for future investigations. In this context, the second potential future work can use SEM–ANN to determine the barriers to adopting sensing-enhanced therapy amongst autistic children to satisfy the recommendations provided by the healthcare sector. The analysis indicates that the manufacturing and technology sectors have conducted the most number of investigations, whereas the construction and small- and medium-sized enterprise sectors have conducted the least. This study will provide a helpful reference to academics and practitioners by providing guidance and insightful knowledge for future studies.

show abstract

Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…Due to additional information, end users are able to devise optimal decisions regarding load shifting for economic and other benefits (Albu et al, 2016;Bahmanyar et al, 2016;Sama et al, 2019a). A smart meter is the blended version of the latest techniques of computer science and instrumental and measurement units (Borges et al, 2015;Shateri et al, 2020;Alquthami et al, 2020;Alkawsi et al, 2021). Hence, smart meters are the foundation of EMSs.…”

Section: Smart Metersmentioning

confidence: 99%

Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

al.¹

2021

Int. j. adv. appl. sci.

View full text Add to dashboard Cite

Fusion of Information and Communication Technologies (ICT) in traditional grid infrastructure makes it possible to share certain messages and information within the system that leads to optimized use of energy. Furthermore, using Computational Intelligence (CI) in the said domain opens new horizons to preserve electricity as well as the price of consumed electricity effectively. Hence, Energy Management Systems (EMSs) play a vital role in energy economics, consumption efficiency, resourcefulness, grid stability, reliability, and scalability of power systems. The residential sector has its high impact on global energy consumption. Curtailing and shifting load of the residential sector can result in solving major global problems and challenges. Moreover, the residential sector is more flexible in reshaping power consumption patterns. Using Demand Side Management (DSM), end users can manipulate their power consumption patterns such that electricity bills, as well as Peak to Average Ratio (PAR), are reduced. Therefore, it can be stated that Home Energy Management Systems (HEMSs) is an important part of ground-breaking smart grid technology. This article gives an extensive review of DSM, HEMS methodologies, techniques, and formulation of optimization problems. Concluding the existing work in energy management solutions, challenges and issues, and future research directions are also presented.

show abstract

“…The cost and processing time are minimized and the satisfaction of the citizens is enhanced. The difficulties in the IoT based smart meter methodologies are investigated and discussed using the Unified Theory of Acceptance and Use of Technology (UTAUT2) by (Alkawsi et al ., 2020). The data from the two towns in Malaysia are taken and the input is provided to the neural network approach to forecast the suitable characteristics.…”

Section: Data Mining Approachesmentioning

confidence: 99%

Review of Data Mining and Data Warehousing Implementation in E-Governance

Jha¹

2020

IJISRT

View full text Add to dashboard Cite

Nowadays, the role of information and communication technology plays an important part in the Indian government administration. Because of the government, it has to handle a large amount of citizen’s data and recent increases of online accessibility. However, due to the lack of unstructured knowledge, it develops complexity while analyzing the data. The issues in the e-governance can be solved using efficient data mining methods. In this review, various researches on the works in the data mining as well as data warehouse in e-governance are investigated and compared. The significances and issues in the e-governance are discussed for the future enhancement. Consequently, the illiteracy rate and literacy rate after the development of e-governance in India is measured. Moreover, the few performance evaluations of e-governance application are an investigation for the validation of the efficiency. The meta-analysis of execution has been done in this review.

show abstract

A hybrid SEM-neural network method for identifying acceptance factors of the smart meters in Malaysia: Challenges perspective

Cited by 60 publications

References 49 publications

Hybrid artificial neural network and structural equation modelling techniques: a survey

Hybrid artificial neural network and structural equation modelling techniques: a survey

Utilization of ICT and AI techniques in harnessing residential energy consumption for an energy-aware smart city: A review

Review of Data Mining and Data Warehousing Implementation in E-Governance

Contact Info

Product

Resources

About