The incorporation of artificial intelligence (AI) in energy systems is a major shift toward realizing energy sustainability objectives on the international dimensions. This paper aims at explaining the several ways that artificial intelligence is bringing change to different entities within the energy sector. Through elements of machine learning, predictive analysis, and blockchain among others, the paper explores how AI is revolutionizing the production, storage, distribution, and consumption of energy. AI is rapidly gaining importance in global renewable energy management aiming to solve some inalienable problems of this sector: variability and dispatchability, as well as grid modernization and optimization in terms of structure and function. The study presents the real use cases in areas that can be quantified and brought to scale, such as predictive operational maintenance, grid management, renewable energy forecasting, and energy storage. AI is helping to cut the costs of operating energy systems and make renewable energy more feasible on a large scale. The future trends that this paper considers include the emerging autonomous renewable systems, the decentralized energy market facilitated by AI and blockchain, as well smart city structures enabled by the integration of Internet of Things. In addition, the economic aspects of AI in energy sustainability about cost, employment, and investment in AI energy solutions are discussed. At the same time, the paper focuses on the ethical and regulatory issues connected with AI, as for the problems of data protection and cyber security, and regarding the requirements for the standardization of AI applications for energy systems in the world. Taken together, this research points to the fact that AI has the potential to be an enabler of a sustainable and economically viable sustainable energy system. Cross-sector cooperation and collaboration, proper regulatory frameworks, as well as technological advancement within the artificial intelligence domain will go a long way to help stakeholders within the energy domain sustainably meet the global energy needs and set the stage for sustainable energy required in the future.

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Future Trends and Economics Impact of AI on Energy Suitability

  • Rahul Vadisetty,
  • Anand Polamarasetti

摘要

The incorporation of artificial intelligence (AI) in energy systems is a major shift toward realizing energy sustainability objectives on the international dimensions. This paper aims at explaining the several ways that artificial intelligence is bringing change to different entities within the energy sector. Through elements of machine learning, predictive analysis, and blockchain among others, the paper explores how AI is revolutionizing the production, storage, distribution, and consumption of energy. AI is rapidly gaining importance in global renewable energy management aiming to solve some inalienable problems of this sector: variability and dispatchability, as well as grid modernization and optimization in terms of structure and function. The study presents the real use cases in areas that can be quantified and brought to scale, such as predictive operational maintenance, grid management, renewable energy forecasting, and energy storage. AI is helping to cut the costs of operating energy systems and make renewable energy more feasible on a large scale. The future trends that this paper considers include the emerging autonomous renewable systems, the decentralized energy market facilitated by AI and blockchain, as well smart city structures enabled by the integration of Internet of Things. In addition, the economic aspects of AI in energy sustainability about cost, employment, and investment in AI energy solutions are discussed. At the same time, the paper focuses on the ethical and regulatory issues connected with AI, as for the problems of data protection and cyber security, and regarding the requirements for the standardization of AI applications for energy systems in the world. Taken together, this research points to the fact that AI has the potential to be an enabler of a sustainable and economically viable sustainable energy system. Cross-sector cooperation and collaboration, proper regulatory frameworks, as well as technological advancement within the artificial intelligence domain will go a long way to help stakeholders within the energy domain sustainably meet the global energy needs and set the stage for sustainable energy required in the future.