Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1673
Título: AI in power systems and energy markets
Autor: Ramos, Carlos
Liu, Chen-Ching
Palavras-chave: Artificial intelligence
Powers systems
Energy markets
Data: 2011
Relatório da Série N.º: IEEE Intelligent Systems; Vol. 26, Issue 2
Resumo: In a world increasingly conscientious about environmental effects, power and energy systems are undergoing huge transformations. Electric energy produced from power plants is transmitted and distributed to end users through a power grid. The power industry performs the engineering design, installation, operation, and maintenance tasks to provide a high-quality, secure energy supply while accounting for its systems’ abilities to withstand uncertain events, such as weather-related outages. Competitive, deregulated electricity markets and new renewable energy sources, however, have further complicated this already complex infrastructure.Sustainable development has also been a challenge for power systems. Recently, there has been a signifi cant increase in the installation of distributed generations, mainly based on renewable resources such as wind and solar. Integrating these new generation systems leads to more complexity. Indeed, the number of generation sources greatly increases as the grid embraces numerous smaller and distributed resources. In addition, the inherent uncertainties of wind and solar energy lead to technical challenges such as forecasting, scheduling, operation, control, and risk management. In this special issue introductory article, we analyze the key areas in this field that can benefi t most from AI and intelligent systems now and in the future.We also identify new opportunities for cross-fertilization between power systems and energy markets and intelligent systems researchers.
URI: http://hdl.handle.net/10400.22/1673
ISSN: 1541-1672
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5751214
Aparece nas colecções:ISEP – GECAD – Artigos

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