## 3 Related Works
However, no study has examined the actual use of the smart meter system. Considering the most important factors shaping smart meter acceptance, privacy, ease of use and usefulness are frequently investigated. Other significant factors that influence the behavioural intention to use smart meters, such as attitude, satisfaction, behavioural control, personal norm, energy price, health, affordability, social influence, and environmental concern, did not receive much attention. It was noticed that a few studies did not apply any theoretical baserelated to technology acceptance rather than just general concepts. for example, [PERSON] [47] reviewed reports gathered from 20 utilities in USA that were either undergoing deployment of smart meters or in the planning phase. It was concluded that effective feedback is very important for the consumer to react and use of smart meters. The results in [48] showed, on the other hand, a lack of understanding of energy efficiency solutions and potential for more visual, mobile, engaging, and target-driven energy data interfaces. Addition, the findings showed the importance of technology awareness for consumers to get engage with smart meters. In the same line of study, [PERSON] and [PERSON] [49] showed essential role of feedback in accepting the smart meter. \begin{table}
\begin{tabular}{p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt} p{42.7 pt}} \hline \hline
**Study** & **Targeted Case** & **Observed Behaviour** & **Model** & **Method** & **Location** & **Findings** & **Limitations** \\ \hline \multirow{8}{*}{[50]} & Householders who have not installed smart meters & Smart meter support and adoption intention & \multirow{4}{*}{TAM, SETA} & Online-based survey & & Privacy, usefulness, and problem support. Privacy, usefulness, and problem perception affect intention. Problem perception affects affects Usefulness. & The participants were volunteers. As a predictor of the outcome variables, only electricity curtailment behaviors were used. The effect of certain primary TAM variables has not been investigated. & The participants were volunteers. As a predictor of the outcome variables only & The individual variations of the survey participants in this sample were not investigated. \\ \cline{1-1} \cline{2-6}  & Customers with smart meter & \multirow{2}{*}{Intention to use awareness} & & & & & \\ \cline{1-1}  & & & & & & & \\ \cline{1-1}  & Customers with smart meter & \multirow{2}{*}{Intention to use} & & & & & \\ \cline{1-1}  & & & & & & & \\ \cline{1-1}  & & & & & & & \\ \cline{1-1}  & & & & & & & \\ \cline{1-1}  & Customers with smart meter & \multirow{2}{*}{Intention to use} & & & & & & \\ \cline{1-1}  & & & & & & & \\ \cline{1-1}  & & & & & & & \\ \cline{1-1}  & & & & & & & & \\ \cline{1-1}  & & & & & & & & \\ \cline{1-1}  & & & & & & & & \\ \cline{1-1}  & & & & & & & & \\ \hline \multirow{8}{*}{[51]} & Online users & Likelihood of adoption & General Concepts & Online-based survey & & Global warming, privacy, security, health, and affordability affect the likelihood of adoption & The effect of some primary variables in adoption and acceptance models, such as ease of use and usefulness, was not investigated. & The effect of some primary variables in adoption and acceptance models, such as ease of use and usefulness, was not investigated.