## 1 Introduction
The Ministry of electrical and water, especially with the need to mitigate climate change, aims to reach a generation of 15% of renewable energy by 2035 [31]. Moreover, the government is encouraging people to use renewable energy and new technology, which might lead to decentralize the power systems and might also reduce the effect on government [22]. The introduction of new sustainable buildings and cities that implement renewable energy and efficiently use the electricity, especially with new residential cites in Kuwait, is feasible and efficient [22]. Digitalization through the use of smart meters and smart grid is also believed to provide more reduction and sustainable use of the electricity and are discussed by the Ministry of electrical and water and should come into action [22]. However, remedies for the increase in the generation and their consequences are out of this study's scope. The continuous increase in electricity generation and the different plans of government necessitate carrying out more studies in forecasting. Studies are needed to estimate the total electricity generation for the coming years to assist the policymakers in achieving the proper decisions regarding the future. Several studies were carried out regarding long-term forecasting for Kuwait. However, most of them were about peak load forecasting [18; 32; 33; 34; 35; 36; 37]. [PERSON] and [PERSON] [32] used a bottom-up approach to create a baseline for the residential sector's end-use energy profile in Kuwait until 2040. Recently, [PERSON] et al. [35] investigate the effects of COVID-19 on electrical consumption from 1 st March to 30 th \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Year** & **Population** & \
\begin{tabular}{c} **Per Capita Consumption** \\ **kWh/Person** \\ \end{tabular} &
\begin{tabular}{c} **Mean Annual Rate of** \\ **Growth during 10 Years \%** \\ \end{tabular} \\ \hline
1989 & 2,048,000 & 10,295 & - \\
1999 & 2,148,032 & 12,552 & 3.87\% \\
2009 & 3,484,881 & 13,372 & 0.65\% \\
2019 & 4,776,407 & 14,002 & 0.51\% \\ \hline \hline \end{tabular}
\end{table} 
Table 1: The growing population and per capita consumption in three decades [21]. May. [PERSON] and [PERSON] [37] studied high residential electricity demand drivers in the Gulf Cooperation Council countries (GCC) using the time series model and suggested some recommendations to reduce the demand. To the best of authors' knowledge, limited studies have investigated the Prophet model's use in forecasting the electricity generation. The originality of this study is that it explores the performance of prophet model with multi-regressors in long-term forecasting of electricity generation. The multi-regressors are the historical daily maximum and minimum load, temperature and population. In addition, comparative quantitative analyses with multi-seasonality Holt-Winters model is presented to assess the forecasting performance. Furthermore, the generalizability and robustness of the Prophet and Holt-Winters methods for forecasting long-term electricity generation are explored and presented. Various factors of the future are changing, such as population, weather temperatures, and peak loads, directly or indirectly related to electricity generation were taken into account in the forecasting. The study also provides and discusses the estimation of the expected future fuel consumption cost until 2030. The paper is structured as follows. Section 2 presents a description of the Prophet and the multi-seasonality Holt-Winter models. Section 3 illustrates the results and analyses based on the performance indicators. In addition, Section 3 provides insight for policymakers on the implications of electrical generation on fuel costs.