## 2 Related Work or Literature Survey
[19] have reviewed a substantial amount of literature on energy consumption prediction by building types (3% of which are hospitals). Despite the fact that the majority of the literature in their reviewwas published during the pandemic's first two years, papers explicitly investigating its impact on the electrical energy demand of healthcare facilities were almost non-existent to our observation. Although the COVID-19 pandemic and climate change are not directly related, another important question arises, i.e., How does the new demand profile impact the share of renewables exactly? The authors of [15] have forecast an increase in the use of renewables, whereas a decrease in the use of conventional energy sources in Turkiye for 2022. The results of [16] have predicted an increasing trend in Germany, France, Spain, Turkiye, and the UK for 2021. Studies like [20; 21] have indicated the rising proportion of Renewable Energy Sources (RES) in the UK as a result of the pandemic-induced decline in total electricity demand. The short-term impact of COVID-19 on the share of photovoltaics in the Spanish electricity sector has been investigated by [22]. The impact of the COVID-19 pandemic on the energy sector of China has been investigated in [23; 24; 25]. The authors of [23] have discussed the possibilities offered by the RES, namely their decentralized nature and widespread availability, offering more reliability compared to fossil fuels in extreme situations like the pandemic. Researchers of [26; 27] have drawn similar policy implications for Colombia and Qatar, respectively, suggesting the encouragement of renewable energy technologies based on data collected before and during the pandemic. The global energy demand growth and the rising prices of electricity in the midst of the COVID-19 crisis have been verified by [28], and the wind energy potential of Poland has been assessed positively but with limitations and challenges in mind. Although the research community appears to have reached a consensus on renewable energy being important for energy safety in situations like the pandemic, in practice, it is not as easy as it may seem. For instance, the negative impact of COVID-19 on India's renewable energy market and targets have been discussed in [29]. In regard to reliability, ref. [20] have studied the impact of the pandemic on the grid stability of the UK. The results have stated that despite operating well in general, the grid was strained at times. For instance, the Loss of Load Probability (LOLP) indicators have demonstrated the inadequacy of resources/reserves corresponding to unusual system loads. The analysis has suggested more efficient balancing actions, taking into account the increased portion of RES in the generation of electricity. While interpreting these results, one might conclude the necessity of the transition from traditional to smart grids. Kwilinski et al. [30] indeed have assessed the potential of smart grids using various indicators and point out the importance of flexibility of power networks for situations like the pandemic. It is vital to bear in mind the uncertainty element in the nature of the variability between demand and generation during the pandemic. As an example, the researchers in [31] have developed a stochastic model for long-term forecasting as they considered that the impacts of the pandemic on our lives will be long-lasting. The work in [32] has employed the probabilistic Global Forecasting Method (GFM) to understand consumption patterns. Furthermore, some researchers have included mobility data as an exogenous factor for their prediction models [33; 34]. These studies have provided insights into the correlation between pandemic-altered lifestyles and energy demand. The results of [34] have shown that extra features like mobility data may also improve the accuracy of forecasting implementations. Furthermore, findings of [35] have noted that some energy usage patterns persisted even after the ease of restrictions.