Deep-learning modeling and control optimization framework for intelligent thermal power plants: A practice on superheated steam temperature

The operational flexibility requirement has brought great challenges to control systems of thermal power plants. Through the big data and deep-learning technology, intelligent thermal power plant can greatly improve the quality of deep peak-load regulation. Based on the framework of an intelligent thermal power plant, this paper proposes a control optimization framework by constructing a hybrid deep-learning simulation model adaptable for...