The article investigates the key issues of intelligent decision-making in power dispatch automation systems,aiming to address the complex dynamic scheduling demands and uncertainties in power systems.It proposes an intelligent decision-making approach based on multi-source data,combining deep learning with optimization algorithms.Through analysis and validation experiments,the article demonstrates that the system has significant advantages in various load scenarios as well as in system costs,stability,reliability,and response speed.
关键词
人工智能/电力调度/自动化系统/智能决策/深度学习
Key words
artificial intelligence/electric power dispatching/automated system/intelligent decision making/deep learning
维普
万方数据