## 2 Literature Review  
[PERSON] and [PERSON] [4] examine how access to household electricity in India influences rural households' decisions to engage in entrepreneurial activities within their homes. Using a panel dataset of nearly 20,000 rural households from the periods 2004-2005 and 2011-2012, the impact of electricity access on participation in rural non-farm enterprises is analyzed through panel fixed-effects logit models and Heckman two-stage selection models. The findings revealed that electricity access positively influences households' decisions to establish home-based non-farm enterprises. Moreover, household electricity access leads to an average income increase of 35.2% from these businesses. [PERSON] and [PERSON] [5] analyzed the expansion of reliable electricity access in India from two perspectives. First, the ability of mini grids is assessed to achieve unit-level profitability and potential for scaling, based on past policies. Second, the authors explore collaborative business models, drawing on the experience of mini grid operators, that could create successful solutions for both distribution utilities and private operators. [PERSON] et al. [6] examined changes in household electricity access, usage, and satisfaction over time in rural India. A survey, conducted in 2015, gathered data from over 8500 households across six Indian states. These same households were re-surveyed in 2018, creating a longitudinal dataset to track developments in electricity access over the three year period. The findings showed significant improvements in both access and supply quality, with electrification rates increasing by 17%. [PERSON] et al. [7] investigated the impact of electricity generation efficiency on the human capital index in India from 1980 to 2021, using a novel multi-threshold non-linear ARDL model. The results provided strong evidence that the effects of electricity generation efficiency on human development vary across different thresholds or quantiles. Given the varied sizes and interests of Energy Community (EC) members, a bi-level optimization model is necessary [8]. This model operates on two levels: the first level offers tailored support to individual consumers and prosumers, while the second level focuses on coordinating the overall EC. The model is implemented within a Digital Twin framework that mirrors the EC's functioning and the actions of individual participants, such as consumers, prosumers, and public assets. [PERSON] and [PERSON] [9] examined the relationship between electricity consumption and economic growth in India from 1980 to 2017. The long-run results from the ARDL model indicate that electricity consumption does not significantly affect output per capita, whereas financial development and physical capital have a positive and significant impact on output per capita. A previous analysis [10] indicated that improvements in household electricity access contributed to 3-4% of the national emissions growth in India over the past thirty years. Specifically, emissions from both direct and indirect electricity use by more than 650 million people connected since 1981 accounted for 11-25% of the increase in Indian emissions. On average, this represents an increase of 0.008-0.018 tons of \(CO_{2}\) per person per year from 1981 to 2011. A study by [PERSON] et al. [11] investigated the influence of economic policy uncertainty, GDP, population, and renewable energy consumption on CO\({}_{2}\) emissions in BRIC countries, including India, over the period 1991-2023. The research aimed to uncover long-term relationships among these variables and offer valuable insights. Employing fully modified ordinary least squares (FMOLS) and dynamic ordinary least squares (DOLS) econometric techniques, the results indicated that GDP growth and population expansion significantly contribute to rising CO\({}_{2}\) emissions, whereas renewable energy consumption contributes to mitigating them.