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Over the years, fossils fuel is massively used for the purpose of energy. It is the decomposition of dead organisms which releases energy combustion containing more percentages of carbon. In the form of petroleum, coal, kerosene and natural gas fossil fuel have enlarged its usage across the world. Particularly the renewable energy has wider potential in developing countries that balance economy and stability. The renewable energy facilitates the balance in both economic-technical systems and the environment in the world. Now the adoptions of renewable energy technologies are very negligible. The public awareness of its advantages should penetrate the public through a proper marketing mix program that will definitely increase the market share of renewable energy technology. Solar photovoltaic technology is the ultimate development in renewable technology for household purposes which could reduce the greenhouse effect and balance the ecosystem when widely adopted. So a strong adoption theory and a proper marketing strategy will definitely enlarge the scope of solar PV market. This paper is systematic review of selected papers on solar energy adoption and marketing. Here the researcher analyzed that a proper promotional message and product adoption will create a distinct place in solar energy sector.

Price of the gold plays a major role in monetary as well as financial systems. Prediction and forecasting the upcoming tendency of gold prices and other valuable metals will be helpful for investors and money managers to evade choosing when to supply this commodity. Central banks throughout the globe uphold gold reserves to assure the currency holders, the money of their shareholders, and foreigndebt creditors. They also utilize the gold treasury as a means to manage inflation and toughen their country's economic standing. During this procedure, the prediction of the gold rate has become the biggest issue now a days. So, various methods, especially intelligent techniques, have played a vital role in predicting gold prices. Moreover, a comparative investigation on the impact of machine learning (ML) algorithms such as support vector machine (SVM), random forest (RF), linear regression (LR), decision tree (DT), and other hybrid methods for gold price forecasting has been made. Some significant research directions for additional research on gold price prediction are highlighted which may assist the researchers to widen proficient intelligent techniques for the prediction of gold rate.

Tourism is the deed of every individual who loves to travel for leisure, entertainment, sports, or other purpose and usually stay in places outside their environment. It involves hospitality, health, sports, education, or entertainment. Tourism is often connected with the individual intentions to discover the facts and findings of the environment. But, the COVID-19 pandemic contamination has furiously affected the kind of tourism industry across the world and waiting for the biggest downfall ever in the history of tourism. It not only affected the common inter and intraregional travel but also badly hit the global tourism sectors. In this article, an impact study of COVID-19 on tourism sustainability is performed with an in-depth discussion on various issues and challenges. Further, an effective analytical perspective is presented on the applications of intelligent computing techniques to meet the challenges of tourism concerning COVID-19. This study will be helpful for effective analysis on different tourism sectors in a post-pandemic scenario along with a special focus towards the enhancement of domain knowledge of different stakeholders, industries, and government organisations.