AI-Driven Business Intelligence for Sustainability and Competitive Advantage in the Energy Sector

The field of energy is about to experience a pivotal turning point. As a result of recent developments in digital technology, there is a possibility that the generation of energy, as well as commerce and consumption, could experience fundamental upheavals. AI technology is the driving force behind the most recent paradigm shift in digitalization. The autonomous incorporation of new renewable energy sources, as well as the supply and demand for energy, will be governed by software that is both intelligent and operationally optimised to maximise efficiency. The successful completion of this mission absolutely requires the application of artificial intelligence. The application of AI strategies to the field of energy research is the primary focus of this investigation. This research was conducted with the intention of providing scholars and readers with a realistic starting point for future comparisons of artificial intelligence (AI) projects, aims, state-of-the-art applications, and obstacles, as well as responsibilities related to global governance. In this study, we looked at how artificial intelligence (AI) techniques outperform conventional models in a variety of contexts, such as controllability, large data handling, the prevention of cyberattacks, smart grid, the Internet of Things (IoT), robotics, energy efficiency optimisation, predictive maintenance control, and computing efficiency. Specifically, we looked at these areas. According to the findings of our research, AI is swiftly emerging as a game-changing tool for the highly competitive energy business, which is growing increasingly sophisticated, novel, and data-related. In addition, the energy industry is known for its intense level of competition.