Evaluation of Solar Energy System by Big Data Analysis: A Review

Abstract

 energy sources, downtime costs the organization money and harms its reputation. The NoSQL database environment functions like a solar cargo space and can offer data relevant to solar system while allowing operations to continue without data loss. Big data is a datalog that is compiled from various facts for business purposes to provide fresh information for improved decision-making. Because it is pollution-free and photovoltaic technology is always improving, the solar energy system is the transformation of electrical power-producing systems. To enable the evaluation of the solar system, this paper aims to propose a high-tech structure for managing the dimensions, diversity, and velocity of data connected to the solar system using Big Data tools like NoSQL and Hadoop. In the end, it is identified, being an information-driven utility is fundamental to the modern age. Information-based expertise is essential for carrying out ongoing framework activities and is equally important for managing a utility endeavor in an era rife with hazardous inventive and market forces. Furthermore, it comprehends and improves solar business operations. Retailers may quickly adjust their inventory based on predictive models created from social media data, web search trends, and solar energy weather forecasts.